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stable-diffusion. Jupyter Notebook
1.5kawesome-pretrained-stylegan2. A collection of pre-trained StyleGAN 2 models to download
1.3ktoonify. Jupyter Notebook
618stylegan2. StyleGAN2 - Official TensorFlow Implementation with practical improvements
354awesome-pretrained-stylegan. A collection of pre-trained StyleGAN models to download
333awesome-pretrained-stylegan3. A collection of pretrained models for StyleGAN3
298clip2latent. Python
156pixel2style2pixel. Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"
71pix2pixHD. Synthesizing and manipulating 2048x1024 images with conditional GANs
33Processing. Processing
30stylegan-matlab-playground. A MATLAB implmentation of the StyleGAN generator
18data-efficient-gans. Differentiable Augmentation for Data-Efficient GAN Training
11toonify-api-docs. Documentation for the Toonify API
9Wuerstchen. Official implementation of Würstchen: Efficient Pretraining of Text-to-Image Models
7sumie. Python
5justinpinkney.com. My home on the web
4face-of-art. Code for "The Face of Art: Landmark Detection and Geometric Style in Portraits"
4stylegan2-ada-pytorch. StyleGAN2-ADA - Official PyTorch implementation
3Photometric-stereo. Photometric USB webcam microscope
3blender-python. Experiments with blender python scripting
3nomi. Python
2ColourSorter. Colour sorter
2Pittd. Plain image and text diary telegram bot
2progress. Text based progress indicators for MATLAB
2Matlab-MVP. Simple MATLAB GUI implementing the MVP pattern
2galaxy. Python
1stylegan. StyleGAN - Official TensorFlow Implementation
1stylegan2-pytorch. Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch
1latent-diffusion. High-Resolution Image Synthesis with Latent Diffusion Models
1kornia. Open Source Differentiable Computer Vision Library
1face-monkey. Python
1imagenet-utils. Python
1atsumaru. An image montaging algorithm
1emoca. Official repository accompanying a CVPR 2022 paper EMOCA: Emotion Driven Monocular Face Capture And Animation. EMOCA takes a single image of a face as input and produces a 3D reconstruction. EMOCA sets the new standard on reconstructing highly emotional images in-the-wild
1pytorch-CycleGAN-and-pix2pix. Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
1stylegan3. Official PyTorch implementation of StyleGAN3
1emotion-recognition. MATLAB
1DALLE2-pytorch. Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
1sissigen. Python
1CHH-Trees. Jupyter Notebook
1OBJLoader2. Java
1mtcnn-face-detection. Face detection and alginment using deep learning
1guided-diffusion. Python
1ganspace. Discovering Interpretable GAN Controls
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