📖 This is a repository for organizing papers, codes, and other resources related to personalized video generation and editing.

A pipeline parallel training script for diffusion models.

[FG 2026] Official implementation of the paper "NullFace: Training-Free Localized Face Anonymization"

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

An arbitrary face-swapping framework on images and videos with one single trained model!

[CVPR 2023, top-10%] Authors official PyTorch implementation of the "Attribute-preserving Face Dataset Anonymization via Latent Code Optimization".

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

Author implementation of RiDDLE: Reversible and Diversified De-identification with Latent Encryptor (CVPR 2023)

Face Anonymization Made Simple ,joke it don't use it for evil.

High-resolution models for human tasks.

[WACV 2025] Official implementation of "Face Anonymization Made Simple"

[Neurips 2025'] VividFace: A Diffusion-Based Hybrid Framework for High-Fidelity Video Face Swapping

Face Recognition using pre-trained model built-on Arcface was implemented on Pytorch.

[TMLR 2025🔥] A survey for the autoregressive models in vision.

Deepfakes Software For All

This repository gives the official implementation of Realistic and Efficient Face Swapping: A Unified Approach with Diffusion Models (WACV 2025)

An official implementation of CW-RGP (NeurIPS 2022, spotlight).

[CSUR 2026] A Survey on Deepfake Generation and Detection

real time face swap and one-click video deepfake with only a single image

State-of-the-art 2D and 3D Face Analysis Project

Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch

EsViT: Efficient self-supervised Vision Transformers

The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)

This repository contains the implementation for the paper "EMP-SSL: Towards Self-Supervised Learning in One Training Epoch."

(Pytorch) Training ResNets on ImageNet-100 data

Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)

Compute FID scores with PyTorch.