Pytorch Implementation for paper: IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis
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Pytorch code of for our CVPR 2018 paper "Neural Baby Talk"
An implementation of paper from NIPS2017 'Towards the Automatic Anime Characters Creation with Ge...
A large-scale face dataset for face parsing, recognition, generation and editing.
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (...
Semantic Image Synthesis with SPADE
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' ...
PyTorch inference for "Progressive Growing of GANs" with CelebA snapshot
[CVPR2020] Adversarial Latent Autoencoders
Adversarially Learned Inference in Pytorch
Pytorch Implementation of variational auto-encoder for MNIST
Pytorch codes for "Learning Spatial Attention for Face Super-Resolution", TIP 2020.
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
PyTorch extensions for fast R&D prototyping and Kaggle farming
[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregress...