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CAKEGAN 🍰
Train your model. Next it’s time to start baking your model in a warm GPU heated oven. The model I’m training is 256x256 (config-e) which is a bit lighter weight than a the full fat 1024x1024 (config-f) model primarily used in the paper. I use Google Colab for training,and use a fork. 3.
STYLEGAN NETWORK BLENDING StyleGAN network blending. Last touched August 25, 2020. Making Ukiyo-e portraits real. In my previous post about attempting to create an ukiyo-e portrait generator I introduced a concept I called “layer swapping” in order to mix two StyleGAN models version.The aim was to blend a base model and another created from that using transfer learning, the fine-tuned model. THE WONDERFUL WORLD OF CLIP The Wonderful World of CLIP. Last touched February 18, 2021. I realise that I all too easily fall into the trap of writing things on Twitter and thinking “I’ll clean that up, flesh it out, and make a blog post of it.”. But I never do. So better to break it out of the silo a bit first and then work on it later.JUSTIN PINKNEY
Recipes. No Knead Bread; Cinnamon Raisin Walnut Bread; Baked potato fillings; Fritters; Funfetti Cookies; Lentil Bolognese; Beef and Tofu; Hummus; Orzo bake; Persian Lamb STYLE SPACE FACE EDITING By placing this edited face back in the original image we can create some fairly realistically edited images. Here are some examples of facial hair, expression, and make up editing. The encoder is also flexible enough that it can work with some non-photographic images too. As the output of the model is constrained by the pre-trainedgenerative
MAKING TOONIFY YOURSELF AWESOME PRETRAINED STYLEGAN Do experiments and investigate the properties of a latent space. Pre-trained models can also be useful if you want to investigate the properties of specific modifications and manipulations of a trained GAN. In fact my Awesome StyleGAN made and appearance in the excellent GANSpace paper. A well trained model is also useful if you just wantto
UKIYO-E YOURSELF WITH STYLEGAN 2 HOME | JUSTIN PINKNEY Hello! I’m Justin Pinkney and this site is my home on the web.. Most of the things on this website are either about Generative Art or Deep Learning or the combination of the two. Mostly written up as blog posts but you can also see a stream of outputs and screengrabs of the things I’ve been playing with.. My day job is as a software consultant at MathWorks in the U.K. ABOUT THIS SITE 🏡 About this site 🏡. I’ve had many different versions of a home page over the years. I’ve left traces on lots of different social media sites (but only really use Twitter now), kept a food blog. , posted about generative art on a wordpress blog, even written my own simple static site generator (for no apparent reason).CAKEGAN 🍰
Train your model. Next it’s time to start baking your model in a warm GPU heated oven. The model I’m training is 256x256 (config-e) which is a bit lighter weight than a the full fat 1024x1024 (config-f) model primarily used in the paper. I use Google Colab for training,and use a fork. 3.
STYLEGAN NETWORK BLENDING StyleGAN network blending. Last touched August 25, 2020. Making Ukiyo-e portraits real. In my previous post about attempting to create an ukiyo-e portrait generator I introduced a concept I called “layer swapping” in order to mix two StyleGAN models version.The aim was to blend a base model and another created from that using transfer learning, the fine-tuned model. THE WONDERFUL WORLD OF CLIP The Wonderful World of CLIP. Last touched February 18, 2021. I realise that I all too easily fall into the trap of writing things on Twitter and thinking “I’ll clean that up, flesh it out, and make a blog post of it.”. But I never do. So better to break it out of the silo a bit first and then work on it later.JUSTIN PINKNEY
Recipes. No Knead Bread; Cinnamon Raisin Walnut Bread; Baked potato fillings; Fritters; Funfetti Cookies; Lentil Bolognese; Beef and Tofu; Hummus; Orzo bake; Persian Lamb STYLE SPACE FACE EDITING By placing this edited face back in the original image we can create some fairly realistically edited images. Here are some examples of facial hair, expression, and make up editing. The encoder is also flexible enough that it can work with some non-photographic images too. As the output of the model is constrained by the pre-trainedgenerative
MAKING TOONIFY YOURSELF AWESOME PRETRAINED STYLEGAN Do experiments and investigate the properties of a latent space. Pre-trained models can also be useful if you want to investigate the properties of specific modifications and manipulations of a trained GAN. In fact my Awesome StyleGAN made and appearance in the excellent GANSpace paper. A well trained model is also useful if you just wantto
UKIYO-E YOURSELF WITH STYLEGAN 2 HELLO 👋 | JUSTIN PINKNEY Hello 👋. Last touched June 01, 2020. Hello! I’m Justin Pinkney and this site is my home on the web.. Most of the things on this website are either about Generative Art or Deep Learning or the combination of the two. Mostly written up as blog posts but you can also see a stream of outputs and screengrabs of the things I’ve been playing with.. My day job is as a software consultant at ABOUT THIS SITE 🏡 About this site 🏡. I’ve had many different versions of a home page over the years. I’ve left traces on lots of different social media sites (but only really use Twitter now), kept a food blog. , posted about generative art on a wordpress blog, even written my own simple static site generator (for no apparent reason). IDEAS 💡 | JUSTIN PINKNEY Ideas 💡. Last touched August 19, 2020. Use person detection and inpainting to remove all the people from FFHQ. The faces are the most problematic bit of the dataset and the backgrounds are moreinteresting anyway
THE WONDERFUL WORLD OF CLIP The Wonderful World of CLIP. Last touched February 18, 2021. I realise that I all too easily fall into the trap of writing things on Twitter and thinking “I’ll clean that up, flesh it out, and make a blog post of it.”. But I never do. So better to break it out of the silo a bit first and then work on it later.JUSTIN PINKNEY
Recipes. No Knead Bread; Cinnamon Raisin Walnut Bread; Baked potato fillings; Fritters; Funfetti Cookies; Lentil Bolognese; Beef and Tofu; Hummus; Orzo bake; Persian Lamb MATLAB FACE DETECTION WITH MTCNN 🔎😄 MATLAB Face Detection with MTCNN 🔎😄. Last touched June 06, 2020. Get a fast and accurate face and facial feature detector for MATLAB here. Intro. Everyone pretty much takes good quality face detection for granted these days, and it’s essentially a solved problem incomputer vision.
MATLAB PIX2PIX 🏢
MATLAB pix2pix 🏢. Last touched June 09, 2020. Of all the GAN architectures pix2pix is a personal favourite. It popularised the use of GANs for image to image translation, it’s nice and simple, trains relatively quickly, and invariably produces some surprisingly pleasantresults.
PROGRESS ⏳
Progress ⏳. Last touched June 05, 2020. Progress is a small MATLAB package for displaying textual progress indicators in loops for MATLAB. Get the code on GitHubCOLOUR SORTER 🌈
Colour Sorter 🌈. Last touched June 08, 2020. Takes a picture and rearranges the pixels to make another. A little generative art Java application I made a long time ago which implements an algorithm to take all the pixels from an image and use them to make a new image, based on a (sort of) sorting algorithm. UKIYO-E FACES DATASET Ukiyo-e faces dataset. Last touched October 29, 2020. Download the dataset: V2. As part of my paper Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domains rdgi I use a dataset of Ukiyo-e face images for training a StyleGAN model, this post contains a link to, and details of that dataset.. Updates. V2 - Removed 28 bad quality images (poor alignment or not face). HOME | JUSTIN PINKNEY Hello! I’m Justin Pinkney and this site is my home on the web.. Most of the things on this website are either about Generative Art or Deep Learning or the combination of the two. Mostly written up as blog posts but you can also see a stream of outputs and screengrabs of the things I’ve been playing with.. My day job is as a software consultant at MathWorks in the U.K. ABOUT THIS SITE 🏡 I still keep some recipes at https://recipes.justinpinkney.com but these are just for me and that food blog is long dead.↩; Getting Littlefoot to work correctly on the Gatsby production build actually requires something a little different to that described in the readme,see this issue.↩
CAKEGAN 🍰
CakeGAN 🍰. Last touched July 14, 2020. These cakes are a lie, they’re all generated by a neural network. Random fake cakes are nice, but eventually my grand idea is to make a bespoke cake designer (I’m in this for the latent space you know!).JUSTIN PINKNEY
Recipes. No Knead Bread; Cinnamon Raisin Walnut Bread; Baked potato fillings; Fritters; Funfetti Cookies; Lentil Bolognese; Beef and Tofu; Hummus; Orzo bake; Persian Lamb THE WONDERFUL WORLD OF CLIP The Wonderful World of CLIP. Last touched February 18, 2021. I realise that I all too easily fall into the trap of writing things on Twitter and thinking “I’ll clean that up, flesh it FROM FEATURE SPACE TO INPUT SPACE From feature space to input space. Last touched August 05, 2020. Input space and Feature space are different sides of the looking glass. Neural networks (for image tasks) take in images and put them through a series of, typically convolutional, transformations. STYLEGAN NETWORK BLENDING StyleGAN network blending. Last touched August 25, 2020. Making Ukiyo-e portraits real. In my previous post about attempting to create an ukiyo-e portrait generator I introduced a concept I called “layer swapping” in order to mix two StyleGAN models version.The aim was to blend a base model and another created from that using transfer learning, the fine-tuned model. MAKING TOONIFY YOURSELF AWESOME PRETRAINED STYLEGAN A repository of pre-trained models for StyleGAN 1 and 2. Awesome Pretrained StyleGAN. Last touched July 03, 2020. I maintain two collections of links to StyleGAN models pre-trained on a variety ofdatasets:
UKIYO-E YOURSELF WITH STYLEGAN 2 HOME | JUSTIN PINKNEY Hello! I’m Justin Pinkney and this site is my home on the web.. Most of the things on this website are either about Generative Art or Deep Learning or the combination of the two. Mostly written up as blog posts but you can also see a stream of outputs and screengrabs of the things I’ve been playing with.. My day job is as a software consultant at MathWorks in the U.K. ABOUT THIS SITE 🏡 I still keep some recipes at https://recipes.justinpinkney.com but these are just for me and that food blog is long dead.↩; Getting Littlefoot to work correctly on the Gatsby production build actually requires something a little different to that described in the readme,see this issue.↩
CAKEGAN 🍰
CakeGAN 🍰. Last touched July 14, 2020. These cakes are a lie, they’re all generated by a neural network. Random fake cakes are nice, but eventually my grand idea is to make a bespoke cake designer (I’m in this for the latent space you know!).JUSTIN PINKNEY
Recipes. No Knead Bread; Cinnamon Raisin Walnut Bread; Baked potato fillings; Fritters; Funfetti Cookies; Lentil Bolognese; Beef and Tofu; Hummus; Orzo bake; Persian Lamb THE WONDERFUL WORLD OF CLIP The Wonderful World of CLIP. Last touched February 18, 2021. I realise that I all too easily fall into the trap of writing things on Twitter and thinking “I’ll clean that up, flesh it FROM FEATURE SPACE TO INPUT SPACE From feature space to input space. Last touched August 05, 2020. Input space and Feature space are different sides of the looking glass. Neural networks (for image tasks) take in images and put them through a series of, typically convolutional, transformations. STYLEGAN NETWORK BLENDING StyleGAN network blending. Last touched August 25, 2020. Making Ukiyo-e portraits real. In my previous post about attempting to create an ukiyo-e portrait generator I introduced a concept I called “layer swapping” in order to mix two StyleGAN models version.The aim was to blend a base model and another created from that using transfer learning, the fine-tuned model. MAKING TOONIFY YOURSELF AWESOME PRETRAINED STYLEGAN A repository of pre-trained models for StyleGAN 1 and 2. Awesome Pretrained StyleGAN. Last touched July 03, 2020. I maintain two collections of links to StyleGAN models pre-trained on a variety ofdatasets:
UKIYO-E YOURSELF WITH STYLEGAN 2 ABOUT THIS SITE 🏡 I still keep some recipes at https://recipes.justinpinkney.com but these are just for me and that food blog is long dead.↩; Getting Littlefoot to work correctly on the Gatsby production build actually requires something a little different to that described in the readme,see this issue.↩
HELLO 👋 | JUSTIN PINKNEY Hello 👋. Last touched June 01, 2020. Hello! I’m Justin Pinkney and this site is my home on the web.. Most of the things on this website are either about Generative Art or Deep Learning or the combination of the two. Mostly written up as blog posts but you can also see a stream of outputs and screengrabs of the things I’ve been playing with.. My day job is as a software consultant at THE WONDERFUL WORLD OF CLIP The Wonderful World of CLIP. Last touched February 18, 2021. I realise that I all too easily fall into the trap of writing things on Twitter and thinking “I’ll clean that up, flesh it IDEAS 💡 | JUSTIN PINKNEY Ideas 💡. Last touched August 19, 2020. Use person detection and inpainting to remove all the people from FFHQ. The faces are the most problematic bit of the dataset and the backgrounds are moreinteresting anyway
BIOPHYSICS 🔬🧬
Biophysics 🔬🧬. Last touched June 04, 2020. My biophysics phd was focused on single molecule fluorescence methods for studying DNA-protein interactions. A bit more specifically I used single molecule methods such as FRET (Forster resonance energy transfer), PIFE (protein induced fluorescence enhancement), and a method I developed, TFM (tethered fluorophore motion), to study a UKIYO-E FACES DATASET Ukiyo-e faces dataset. Last touched October 29, 2020. Download the dataset: V2. As part of my paper Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domains rdgi I use a dataset of Ukiyo-e face images for training a StyleGAN model, this post contains a link to, and details of that dataset.. Updates. V2 - Removed 28 bad quality images (poor alignment or not face). MATLAB FACE DETECTION WITH MTCNN 🔎😄 MATLAB Face Detection with MTCNN 🔎😄. Last touched June 06, 2020. Get a fast and accurate face and facial feature detector for MATLAB here. Intro. Everyone pretty much takes good quality face detection for granted these days, and it’s essentially a solved problem incomputer vision.
MATLAB PIX2PIX 🏢
MATLAB pix2pix 🏢. Last touched June 09, 2020. Of all the GAN architectures pix2pix is a personal favourite. It popularised the use of GANs for image to image translation, it’s nice and simple, trains relatively quickly, and invariably produces some surprisingly pleasantresults.
MATLAB STYLEGAN PLAYGROUND 🙃 MATLAB StyleGAN Playground 🙃. Last touched June 18, 2020. Everyone who’s ever seen output from GANs has probably seen faces generated by StyleGAN. Now you can do the same in MATLAB!. StyleGAN (and it’s successor) have had a big impact on the use and application of generative models, particularly among artists. MY DAY JOB 🧑💻 My Day Job 🧑💻. Last touched June 07, 2020. MathWorks. I’m currently a senior consultant at MathWorks helping people to: develop computer vision and deep learning algorithms, write better MATLAB code and embrace good software development practices, develop and deploy more complex application than your average MATLAB user usually thinks about.. As part of my job I’ve been able to HOME | JUSTIN PINKNEY Hello! I’m Justin Pinkney and this site is my home on the web.. Most of the things on this website are either about Generative Art or Deep Learning or the combination of the two. Mostly written up as blog posts but you can also see a stream of outputs and screengrabs of the things I’ve been playing with.. My day job is as a software consultant at MathWorks in the U.K. ABOUT THIS SITE 🏡 About this site 🏡. I’ve had many different versions of a home page over the years. I’ve left traces on lots of different social media sites (but only really use Twitter now), kept a food blog. , posted about generative art on a wordpress blog, even written my own simple static site generator (for no apparent reason).CAKEGAN 🍰
Train your model. Next it’s time to start baking your model in a warm GPU heated oven. The model I’m training is 256x256 (config-e) which is a bit lighter weight than a the full fat 1024x1024 (config-f) model primarily used in the paper. I use Google Colab for training,and use a fork. 3.
STYLEGAN NETWORK BLENDING StyleGAN network blending. Last touched August 25, 2020. Making Ukiyo-e portraits real. In my previous post about attempting to create an ukiyo-e portrait generator I introduced a concept I called “layer swapping” in order to mix two StyleGAN models version.The aim was to blend a base model and another created from that using transfer learning, the fine-tuned model. THE WONDERFUL WORLD OF CLIP The Wonderful World of CLIP. Last touched February 18, 2021. I realise that I all too easily fall into the trap of writing things on Twitter and thinking “I’ll clean that up, flesh it out, and make a blog post of it.”. But I never do. So better to break it out of the silo a bit first and then work on it later. FROM FEATURE SPACE TO INPUT SPACE From feature space to input space. Last touched August 05, 2020. Input space and Feature space are different sides of the looking glass. Neural networks (for image tasks) take in images and put them through a series of, typically convolutional, transformations. MAKING TOONIFY YOURSELF MATLAB FACE DETECTION WITH MTCNN 🔎😄 AWESOME PRETRAINED STYLEGAN Do experiments and investigate the properties of a latent space. Pre-trained models can also be useful if you want to investigate the properties of specific modifications and manipulations of a trained GAN. In fact my Awesome StyleGAN made and appearance in the excellent GANSpace paper. A well trained model is also useful if you just wantto
UKIYO-E YOURSELF WITH STYLEGAN 2 HOME | JUSTIN PINKNEY Hello! I’m Justin Pinkney and this site is my home on the web.. Most of the things on this website are either about Generative Art or Deep Learning or the combination of the two. Mostly written up as blog posts but you can also see a stream of outputs and screengrabs of the things I’ve been playing with.. My day job is as a software consultant at MathWorks in the U.K. ABOUT THIS SITE 🏡 About this site 🏡. I’ve had many different versions of a home page over the years. I’ve left traces on lots of different social media sites (but only really use Twitter now), kept a food blog. , posted about generative art on a wordpress blog, even written my own simple static site generator (for no apparent reason).CAKEGAN 🍰
Train your model. Next it’s time to start baking your model in a warm GPU heated oven. The model I’m training is 256x256 (config-e) which is a bit lighter weight than a the full fat 1024x1024 (config-f) model primarily used in the paper. I use Google Colab for training,and use a fork. 3.
STYLEGAN NETWORK BLENDING StyleGAN network blending. Last touched August 25, 2020. Making Ukiyo-e portraits real. In my previous post about attempting to create an ukiyo-e portrait generator I introduced a concept I called “layer swapping” in order to mix two StyleGAN models version.The aim was to blend a base model and another created from that using transfer learning, the fine-tuned model. THE WONDERFUL WORLD OF CLIP The Wonderful World of CLIP. Last touched February 18, 2021. I realise that I all too easily fall into the trap of writing things on Twitter and thinking “I’ll clean that up, flesh it out, and make a blog post of it.”. But I never do. So better to break it out of the silo a bit first and then work on it later. FROM FEATURE SPACE TO INPUT SPACE From feature space to input space. Last touched August 05, 2020. Input space and Feature space are different sides of the looking glass. Neural networks (for image tasks) take in images and put them through a series of, typically convolutional, transformations. MAKING TOONIFY YOURSELF MATLAB FACE DETECTION WITH MTCNN 🔎😄 AWESOME PRETRAINED STYLEGAN Do experiments and investigate the properties of a latent space. Pre-trained models can also be useful if you want to investigate the properties of specific modifications and manipulations of a trained GAN. In fact my Awesome StyleGAN made and appearance in the excellent GANSpace paper. A well trained model is also useful if you just wantto
UKIYO-E YOURSELF WITH STYLEGAN 2 ALL POSTS | JUSTIN PINKNEY All posts. About this site 🏡. Awesome Pretrained StyleGAN. A repository of pre-trained models for StyleGAN 1 and 2. Big images withLeaflet 🗺️
HELLO 👋 | JUSTIN PINKNEY Hello 👋. Last touched June 01, 2020. Hello! I’m Justin Pinkney and this site is my home on the web.. Most of the things on this website are either about Generative Art or Deep Learning or the combination of the two. Mostly written up as blog posts but you can also see a stream of outputs and screengrabs of the things I’ve been playing with.. My day job is as a software consultant at ABOUT THIS SITE 🏡 About this site 🏡. I’ve had many different versions of a home page over the years. I’ve left traces on lots of different social media sites (but only really use Twitter now), kept a food blog. , posted about generative art on a wordpress blog, even written my own simple static site generator (for no apparent reason). IDEAS 💡 | JUSTIN PINKNEY Ideas 💡. Last touched August 19, 2020. Use person detection and inpainting to remove all the people from FFHQ. The faces are the most problematic bit of the dataset and the backgrounds are moreinteresting anyway
THE WONDERFUL WORLD OF CLIP The Wonderful World of CLIP. Last touched February 18, 2021. I realise that I all too easily fall into the trap of writing things on Twitter and thinking “I’ll clean that up, flesh it out, and make a blog post of it.”. But I never do. So better to break it out of the silo a bit first and then work on it later.JUSTIN PINKNEY
Recipes. No Knead Bread; Cinnamon Raisin Walnut Bread; Baked potato fillings; Fritters; Funfetti Cookies; Lentil Bolognese; Beef and Tofu; Hummus; Orzo bake; Persian Lamb MATLAB STYLEGAN PLAYGROUND 🙃 MATLAB StyleGAN Playground 🙃. Last touched June 18, 2020. Everyone who’s ever seen output from GANs has probably seen faces generated by StyleGAN. Now you can do the same in MATLAB!. StyleGAN (and it’s successor) have had a big impact on the use and application of generative models, particularly among artists.MATLAB PIX2PIX 🏢
MATLAB pix2pix 🏢. Last touched June 09, 2020. Of all the GAN architectures pix2pix is a personal favourite. It popularised the use of GANs for image to image translation, it’s nice and simple, trains relatively quickly, and invariably produces some surprisingly pleasantresults.
PROGRESS ⏳
Progress ⏳. Last touched June 05, 2020. Progress is a small MATLAB package for displaying textual progress indicators in loops for MATLAB. Get the code on GitHubCOLOUR SORTER 🌈
Colour Sorter 🌈. Last touched June 08, 2020. Takes a picture and rearranges the pixels to make another. A little generative art Java application I made a long time ago which implements an algorithm to take all the pixels from an image and use them to make a new image, based on a (sort of) sorting algorithm. HOME | JUSTIN PINKNEY Hello! I’m Justin Pinkney and this site is my home on the web.. Most of the things on this website are either about Generative Art or Deep Learning or the combination of the two. Mostly written up as blog posts but you can also see a stream of outputs and screengrabs of the things I’ve been playing with.. My day job is as a software consultant at MathWorks in the U.K. ABOUT THIS SITE 🏡 About this site 🏡. I’ve had many different versions of a home page over the years. I’ve left traces on lots of different social media sites (but only really use Twitter now), kept a food blog. , posted about generative art on a wordpress blog, even written my own simple static site generator (for no apparent reason).CAKEGAN 🍰
Train your model. Next it’s time to start baking your model in a warm GPU heated oven. The model I’m training is 256x256 (config-e) which is a bit lighter weight than a the full fat 1024x1024 (config-f) model primarily used in the paper. I use Google Colab for training,and use a fork. 3.
THE WONDERFUL WORLD OF CLIP The Wonderful World of CLIP. Last touched February 18, 2021. I realise that I all too easily fall into the trap of writing things on Twitter and thinking “I’ll clean that up, flesh it out, and make a blog post of it.”. But I never do. So better to break it out of the silo a bit first and then work on it later. FROM FEATURE SPACE TO INPUT SPACE From feature space to input space. Last touched August 05, 2020. Input space and Feature space are different sides of the looking glass. Neural networks (for image tasks) take in images and put them through a series of, typically convolutional, transformations. STYLEGAN NETWORK BLENDING StyleGAN network blending. Last touched August 25, 2020. Making Ukiyo-e portraits real. In my previous post about attempting to create an ukiyo-e portrait generator I introduced a concept I called “layer swapping” in order to mix two StyleGAN models version.The aim was to blend a base model and another created from that using transfer learning, the fine-tuned model. MAKING TOONIFY YOURSELF MATLAB FACE DETECTION WITH MTCNN 🔎😄 AWESOME PRETRAINED STYLEGAN Do experiments and investigate the properties of a latent space. Pre-trained models can also be useful if you want to investigate the properties of specific modifications and manipulations of a trained GAN. In fact my Awesome StyleGAN made and appearance in the excellent GANSpace paper. A well trained model is also useful if you just wantto
UKIYO-E YOURSELF WITH STYLEGAN 2 HOME | JUSTIN PINKNEY Hello! I’m Justin Pinkney and this site is my home on the web.. Most of the things on this website are either about Generative Art or Deep Learning or the combination of the two. Mostly written up as blog posts but you can also see a stream of outputs and screengrabs of the things I’ve been playing with.. My day job is as a software consultant at MathWorks in the U.K. ABOUT THIS SITE 🏡 About this site 🏡. I’ve had many different versions of a home page over the years. I’ve left traces on lots of different social media sites (but only really use Twitter now), kept a food blog. , posted about generative art on a wordpress blog, even written my own simple static site generator (for no apparent reason).CAKEGAN 🍰
Train your model. Next it’s time to start baking your model in a warm GPU heated oven. The model I’m training is 256x256 (config-e) which is a bit lighter weight than a the full fat 1024x1024 (config-f) model primarily used in the paper. I use Google Colab for training,and use a fork. 3.
THE WONDERFUL WORLD OF CLIP The Wonderful World of CLIP. Last touched February 18, 2021. I realise that I all too easily fall into the trap of writing things on Twitter and thinking “I’ll clean that up, flesh it out, and make a blog post of it.”. But I never do. So better to break it out of the silo a bit first and then work on it later. FROM FEATURE SPACE TO INPUT SPACE From feature space to input space. Last touched August 05, 2020. Input space and Feature space are different sides of the looking glass. Neural networks (for image tasks) take in images and put them through a series of, typically convolutional, transformations. STYLEGAN NETWORK BLENDING StyleGAN network blending. Last touched August 25, 2020. Making Ukiyo-e portraits real. In my previous post about attempting to create an ukiyo-e portrait generator I introduced a concept I called “layer swapping” in order to mix two StyleGAN models version.The aim was to blend a base model and another created from that using transfer learning, the fine-tuned model. MAKING TOONIFY YOURSELF MATLAB FACE DETECTION WITH MTCNN 🔎😄 AWESOME PRETRAINED STYLEGAN Do experiments and investigate the properties of a latent space. Pre-trained models can also be useful if you want to investigate the properties of specific modifications and manipulations of a trained GAN. In fact my Awesome StyleGAN made and appearance in the excellent GANSpace paper. A well trained model is also useful if you just wantto
UKIYO-E YOURSELF WITH STYLEGAN 2 ABOUT THIS SITE 🏡 About this site 🏡. I’ve had many different versions of a home page over the years. I’ve left traces on lots of different social media sites (but only really use Twitter now), kept a food blog. , posted about generative art on a wordpress blog, even written my own simple static site generator (for no apparent reason). THE WONDERFUL WORLD OF CLIP The Wonderful World of CLIP. Last touched February 18, 2021. I realise that I all too easily fall into the trap of writing things on Twitter and thinking “I’ll clean that up, flesh it out, and make a blog post of it.”. But I never do. So better to break it out of the silo a bit first and then work on it later. MATLAB FACE DETECTION WITH MTCNN 🔎😄 MATLAB Face Detection with MTCNN 🔎😄. Last touched June 06, 2020. Get a fast and accurate face and facial feature detector for MATLAB here. Intro. Everyone pretty much takes good quality face detection for granted these days, and it’s essentially a solved problem incomputer vision.
JUSTIN PINKNEY
Recipes. No Knead Bread; Cinnamon Raisin Walnut Bread; Baked potato fillings; Fritters; Funfetti Cookies; Lentil Bolognese; Beef and Tofu; Hummus; Orzo bake; Persian Lamb MATLAB STYLEGAN PLAYGROUND 🙃 MATLAB StyleGAN Playground 🙃. Last touched June 18, 2020. Everyone who’s ever seen output from GANs has probably seen faces generated by StyleGAN. Now you can do the same in MATLAB!. StyleGAN (and it’s successor) have had a big impact on the use and application of generative models, particularly among artists.MATLAB PIX2PIX 🏢
MATLAB pix2pix 🏢. Last touched June 09, 2020. Of all the GAN architectures pix2pix is a personal favourite. It popularised the use of GANs for image to image translation, it’s nice and simple, trains relatively quickly, and invariably produces some surprisingly pleasantresults.
WWW.JUSTINPINKNEY.COMTRANSLATE THIS PAGE ‹ å}évÓÊÖàÿï)t}Öi ° ©4Û$ßM B€ 8@³X¥ l Y2’ ;ÉñZßCôKôkô£ô“ô®Ò`Ùñ >¸½.!±UîÚCí¡TÚzü 'OÎ>¾ÞWzY?Üy\üe˜îî³ +¤‡“S–m7 WWW.JUSTINPINKNEY.COMTRANSLATE THIS PAGE ‹ å}évÓÊÖàÿï)t}Öi ° ©4Û$ßM B€ 8@³X¥ l Y2’ Ûäxï!ú%ú5úQúIzWi°ìx n¯KHlÕ°«öP{(•¶ þãñÙ£‹÷/ •^Ö ÷ ¦{ û,à éáäœe» aÆU WWW.JUSTINPINKNEY.COMTRANSLATE THIS PAGE ‹ å}évÓÊÖàÿ~ ]Ÿuš ,G*Í6Éw HB€ Ð,V© Ÿuš ,G*Í6Éw HB€ Ð,V© [D–Œ$Ç69^« _â{ ïQúIzWi°ìx n¯KHlÕ°«öP{(•¶ þãñÙ£‹÷/ •^Ö ÷ ¦{ û,à éáäœe» aÆUS WWW.JUSTINPINKNEY.COMTRANSLATE THIS PAGE ‹ å}ëvÓÊÒàÿy ﵇ ,GjÝm’ï$ „!@ l`X¬V_l Y2’ Ûd{yˆy‰ï5¾G™'™êÖŲãK |pf Bb«/ÕUÕÕuiµJ ÿñøìÑÅû—‡J/ë‡{ ‹¿ Ó½ HOME | JUSTIN PINKNEYJUSTIN PINKNEY Hello! I’m Justin Pinkney and this site is my home on the web.. Most of the things on this website are either about Generative Art or Deep Learning or the combination of the two. Mostly written up as blog posts but you can also see a stream of outputs and screengrabs of the things I’ve been playing with.. My day job is as a software consultant at MathWorks in the U.K. ABOUT THIS SITE 🏡 About this site 🏡. I’ve had many different versions of a home page over the years. I’ve left traces on lots of different social media sites (but only really use Twitter now), kept a food blog. , posted about generative art on a wordpress blog, even written my own simple static site generator (for no apparent reason).CAKEGAN 🍰
Train your model. Next it’s time to start baking your model in a warm GPU heated oven. The model I’m training is 256x256 (config-e) which is a bit lighter weight than a the full fat 1024x1024 (config-f) model primarily used in the paper. I use Google Colab for training,and use a fork. 3.
JUSTIN PINKNEY
Recipes. No Knead Bread; Cinnamon Raisin Walnut Bread; Baked potato fillings; Fritters; Funfetti Cookies; Lentil Bolognese; Beef and Tofu; Hummus; Orzo bake; Persian Lamb FROM FEATURE SPACE TO INPUT SPACE From feature space to input space. Last touched August 05, 2020. Input space and Feature space are different sides of the looking glass. Neural networks (for image tasks) take in images and put them through a series of, typically convolutional, transformations. STYLEGAN NETWORK BLENDING StyleGAN network blending. Last touched August 25, 2020. Making Ukiyo-e portraits real. In my previous post about attempting to create an ukiyo-e portrait generator I introduced a concept I called “layer swapping” in order to mix two StyleGAN models version.The aim was to blend a base model and another created from that using transfer learning, the fine-tuned model. STYLE SPACE FACE EDITING By placing this edited face back in the original image we can create some fairly realistically edited images. Here are some examples of facial hair, expression, and make up editing. The encoder is also flexible enough that it can work with some non-photographic images too. As the output of the model is constrained by the pre-trainedgenerative
MATLAB FACE DETECTION WITH MTCNN 🔎😄 UKIYO-E FACES DATASET MAKING TOONIFY YOURSELF HOME | JUSTIN PINKNEYJUSTIN PINKNEY Hello! I’m Justin Pinkney and this site is my home on the web.. Most of the things on this website are either about Generative Art or Deep Learning or the combination of the two. Mostly written up as blog posts but you can also see a stream of outputs and screengrabs of the things I’ve been playing with.. My day job is as a software consultant at MathWorks in the U.K. ABOUT THIS SITE 🏡 About this site 🏡. I’ve had many different versions of a home page over the years. I’ve left traces on lots of different social media sites (but only really use Twitter now), kept a food blog. , posted about generative art on a wordpress blog, even written my own simple static site generator (for no apparent reason).CAKEGAN 🍰
Train your model. Next it’s time to start baking your model in a warm GPU heated oven. The model I’m training is 256x256 (config-e) which is a bit lighter weight than a the full fat 1024x1024 (config-f) model primarily used in the paper. I use Google Colab for training,and use a fork. 3.
JUSTIN PINKNEY
Recipes. No Knead Bread; Cinnamon Raisin Walnut Bread; Baked potato fillings; Fritters; Funfetti Cookies; Lentil Bolognese; Beef and Tofu; Hummus; Orzo bake; Persian Lamb FROM FEATURE SPACE TO INPUT SPACE From feature space to input space. Last touched August 05, 2020. Input space and Feature space are different sides of the looking glass. Neural networks (for image tasks) take in images and put them through a series of, typically convolutional, transformations. STYLEGAN NETWORK BLENDING StyleGAN network blending. Last touched August 25, 2020. Making Ukiyo-e portraits real. In my previous post about attempting to create an ukiyo-e portrait generator I introduced a concept I called “layer swapping” in order to mix two StyleGAN models version.The aim was to blend a base model and another created from that using transfer learning, the fine-tuned model. STYLE SPACE FACE EDITING By placing this edited face back in the original image we can create some fairly realistically edited images. Here are some examples of facial hair, expression, and make up editing. The encoder is also flexible enough that it can work with some non-photographic images too. As the output of the model is constrained by the pre-trainedgenerative
MATLAB FACE DETECTION WITH MTCNN 🔎😄 UKIYO-E FACES DATASET MAKING TOONIFY YOURSELF HELLO 👋 | JUSTIN PINKNEY Hello 👋. Last touched June 01, 2020. Hello! I’m Justin Pinkney and this site is my home on the web.. Most of the things on this website are either about Generative Art or Deep Learning or the combination of the two. Mostly written up as blog posts but you can also see a stream of outputs and screengrabs of the things I’ve been playing with.. My day job is as a software consultant atPROJECTS 📄
Projects 📄. Last touched June 05, 2020. I spend lots of my time playing with and making things. Some I might even call “projects”. Here’s a list of some that might make the grade: IDEAS 💡 | JUSTIN PINKNEY Ideas 💡. Last touched August 19, 2020. Use person detection and inpainting to remove all the people from FFHQ. The faces are the most problematic bit of the dataset and the backgrounds are moreinteresting anyway
THE WONDERFUL WORLD OF CLIP The Wonderful World of CLIP. Last touched February 18, 2021. I realise that I all too easily fall into the trap of writing things on Twitter and thinking “I’ll clean that up, flesh it out, and make a blog post of it.”. But I never do. So better to break it out of the silo a bit first and then work on it later. MATLAB FACE DETECTION WITH MTCNN 🔎😄 MATLAB Face Detection with MTCNN 🔎😄. Last touched June 06, 2020. Get a fast and accurate face and facial feature detector for MATLAB here. Intro. Everyone pretty much takes good quality face detection for granted these days, and it’s essentially a solved problem incomputer vision.
PROGRESS ⏳
Progress ⏳. Last touched June 05, 2020. Progress is a small MATLAB package for displaying textual progress indicators in loops for MATLAB. Get the code on GitHub AWESOME PRETRAINED STYLEGAN Do experiments and investigate the properties of a latent space. Pre-trained models can also be useful if you want to investigate the properties of specific modifications and manipulations of a trained GAN. In fact my Awesome StyleGAN made and appearance in the excellent GANSpace paper. A well trained model is also useful if you just wantto
MATLAB STYLEGAN PLAYGROUND 🙃 MATLAB StyleGAN Playground 🙃. Last touched June 18, 2020. Everyone who’s ever seen output from GANs has probably seen faces generated by StyleGAN. Now you can do the same in MATLAB!. StyleGAN (and it’s successor) have had a big impact on the use and application of generative models, particularly among artists. UKIYO-E YOURSELF WITH STYLEGAN 2 Ukiyo-e yourself. The early stages of training are interesting in that you often see “ukiyo-e ish” looking faces but with traits of the original. Take a look at this example of the same seed for different iterations in training, in the 2nd panel he’s clearly still wearing a suit! This early stage of training seems like it might be aMATLAB PIX2PIX 🏢
MATLAB pix2pix 🏢. Last touched June 09, 2020. Of all the GAN architectures pix2pix is a personal favourite. It popularised the use of GANs for image to image translation, it’s nice and simple, trains relatively quickly, and invariably produces some surprisingly pleasantresults.
JUSTIN PINKNEY
Stream
HELLO!
I’m JUSTIN PINKNEY and this site is my home on theweb.
Most of the things on this website are either about Generative Art or Deep Learning or the combination of the two. Mostly written up as blog posts but you can also see a stream of outputs and screengrabs of the things I’ve been playing with. My day job is as a software consultant at MathWorks in the U.K. I spend most of my time writing code, developing algorithms, training models, and encouraging people to embrace good software development practices. I spend a lot of my free time messing around with code and here I’ll write about some of it. Some things might even be called projects and hopefully the rest might still be ofinterest.
You can also find me on other places around the web, say hello on Twitter , or keep up to date with this site via RSS . MOST RECENTLY UPDATED PAGES: __STYLE SPACE FACE EDITING A runway app to make silly face edits using the StyleSpace of StyleGAN _(DRAFT) -- _THE WONDERFUL WORLD OF CLIP A collection of the weird and wonderful uses of an exciting new visionand text model.
__UKIYO-E FACES DATASET A dataset of thousands of high resolution aligned faces from uikyo-eprints
__MAKING TOONIFY YOURSELF The story of deploying a deep neural network to the cloud and Toonifying tens of thousands of images an hour.__TOONIFY YOURSELF
Use StyleGAN model blending to find your Pixar self __STYLEGAN NETWORK BLENDING Mixing GAN models for weird and wonderful effects__IDEAS 💡
A list of ideas I probably wont ever have time to try out. __FROM FEATURE SPACE TO INPUT SPACE An article looking at the connection between input space and feature space in deep neural networks and how various novel methods have been invented by generalising techniques between the two. __ABOUT THIS SITE 🏡__CAKEGAN 🍰
Baking imaginary cakes with StyleGAN __BIG IMAGES WITH LEAFLET 🗺️ Incorporating big zoomable images into an MDX blog with Leaflet __AWESOME PRETRAINED STYLEGAN A repository of pre-trained models for StyleGAN 1 and 2 __MATLAB STYLEGAN PLAYGROUND 🙃 An implementation of StyleGAN in MATLAB __UKIYO-E YOURSELF WITH STYLEGAN 2 Transforming normal faces to Ukiyo-e style portraits using Generative Adversarial Networks__FIND ME 🔗
Where to find me on the web__GENERATIVE ART
__MATLAB PIX2PIX 🏢 Image to image translation with GANs __COLOUR SORTER 🌈 Takes a picture and rearranges the pixels to make another __MY DAY JOB 🧑💻 __MATLAB FACE DETECTION WITH MTCNN 🔎😄 Fast and accurate face detection and alignment in MATLAB with neuralnetworks
__PROGRESS ⏳
Command line progress indicators for MATLAB__PROJECTS 📄
__BIOPHYSICS 🔬🧬 My former life as a physicist__DEEP LEARNING
__HELLO 👋
2021, Justin PinkneyDetails
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