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denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

dg-sta

diffusers-playground

Diffusers Playground

diffusion_brain

modified from https://huggingface.co/spaces/Warvito/diffusion_brain

diffusionclip

[CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models

disentangled-sequential-autoencoder

Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mandt et al.).

dotfiles

drn

Dilated Residual Networks

ebm_code_release

Code for Implicit Generation and Generalization with Energy Based Models

essl

experiment

Convenient routines to setup experiments

face-aging

face-aging-caae

Age Progression/Regression by Conditional Adversarial Autoencoder

face-aging-with-identity-preserved-conditional-generative-adversarial-networks

face-parsing.pytorch

Using modified BiSeNet for face parsing in PyTorch

face-siamese

facelet_bank

Facelet-Bank for Fast Portrait Manipulation (pytorch)

faceswap

Non official project based on original /r/Deepfakes thread. Many thanks to him!

featurelearningrotnet

fedlearn-algo

Fedlearn支持前沿算法研发的Python工具库 | Fedlearn algorithm toolkit for researchers

gan-timeline

A timeline showing the development of Generative Adversarial Networks (GAN).

gan_stability

Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

ganimation

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral)

ganlatentdiscovery

The authors official implementation of Unsupervised Discovery of Interpretable Directions in the GAN Latent Space

gans-awesome-applications

Curated list of awesome GAN applications and demo

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gomoku

gpnn

Pytorch implementation of the paper: "Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models"

ic_gan

Official repository for the paper "Instance-Conditioned GAN" by Arantxa Casanova, Marlene Careil, Jakob Verbeek, Michał Drożdżal, Adriana Romero-Soriano.

idinvert

ECCV'20 paper `In-Domain GAN Inversion for Real Image Editing` code