Open-source alternatives to Monkey Net

This project is a generative adversarial network designed for image animation and motion transfer. It functions as a computer vision framework that synthesizes video sequences by applying motion patterns extracted from a driving video onto a static source image. The model distinguishes itself by using a keypoint-based representation to decouple object appearance from temporal movement. By tracking structural deformations through learned latent coordinates, it performs motion retargeting and synthetic media production without requiring manual annotations or object-specific training data. The

DeepFaceLab is a deep learning software suite designed for face swapping and the creation of deepfake videos. It functions as a neural network image compositor that replaces human faces or entire heads in video files to produce synthetic media. The tool provides capabilities for digital facial manipulation, including the ability to modify the perceived age of people in video sequences. It uses automated pattern recognition to blend source faces onto target frames to create seamless visual composites. The system covers a broad technical surface including landmark-based face alignment, autoenc

clmtrackr is a JavaScript computer vision library designed for facial landmark detection and real-time tracking. It implements Constrained Local Models to identify specific coordinate points on a human face within video feeds or static images. The project functions as a real-time face warping engine and expression analysis tool. It can distort facial images via parametric models to create caricatures or identify and label emotional states such as happiness, sadness, anger, and surprise based on feature coordinates. The library covers a broad range of capabilities including automatic and manu

SadTalker is a generative framework designed to synthesize expressive talking head videos from static portrait images. By mapping audio signals or text prompts to three-dimensional facial motion coefficients, the system synchronizes lip movements, facial expressions, and head orientation to create realistic digital character performances. The project distinguishes itself by decoupling identity from dynamic motion through latent space encoding, ensuring that the generated animations maintain visual fidelity to the source portrait. It supports comprehensive motion synthesis, including full-body

This project is a Stable Diffusion WebUI extension that provides a graphical interface for personalized portrait generation and AI photo editing. It allows users to train custom identity models from a small set of uploaded images to create consistent digital versions of specific people. The extension includes a virtual try-on system that replaces clothing in images by aligning reference garments with template bodies. It also features tools for face swapping in both static images and videos, as well as a portrait animator that transforms static images into dynamic videos using reference-guided

paper | project website

Invertible conditional GANs for image editing

Expressive Portrait Image Animation for Live Streaming

:fire: If DaGAN is helpful in your photos/projects, please help to :star: it or recommend it to your friends. Thanks:fire: :fire: Seeking for the collaboration and internship opportunities. :fire:

:fire: If MCNet is helpful in your photos/projects, please help to :star: it or recommend it to your friends. Thanks:fire:

CVPR 2022 Structure-Aware Motion Transfer with Deformable Anchor Model

HunyuanPortrait: Implicit Condition Control for Enhanced Portrait Animation Control

LivePortrait is a deep learning framework for portrait animation that transfers facial expressions from a driving video to a static image. It functions as an AI motion retargeting tool, mapping movements between different identities while preserving the unique features of the source portrait. The system includes specialized capabilities for cross-species portrait animation, adapting human-centric models to non-human subjects and animals. It also features a motion template generator that converts driving videos into portable files to accelerate inference and protect the identity of the origina

TIP'19 AttGAN: Facial Attribute Editing by Only Changing What You Want

Follow-Your-Emoji Fine-Controllable and Expressive Freestyle Portrait Animation

Official github repo for Audio Visual Facial Reenactment (WACV 2023). For now, we have put the public release of code on hold due to licensing and ethical concerns. Feel free to reach out for any specific queries!

Official implementation of EMOPortraits: Emotion-enhanced Multimodal One-shot Head Avatars.

Note This repo is now deprecated. Please refer to the new Imaginaire repo: https://github.com/NVlabs/imaginaire.

Pytorch code for ECCV 2018 paper

Taihong Xiao, Jiapeng Hong and Jinwen Ma

Official Pytorch Implementation of 3DV2021 paper: SAFA: Structure Aware Face Animation.

| ArXiv | Get Start | Video

SC-FEGAN : Face Editing Generative Adversarial Network with User's Sketch and Color (ICCV 2019)

Code for Motion Representations for Articulated Animation paper

Authors official PyTorch implementation of StyleMask: Disentangling the Style Space of StyleGAN2 for Neural Face Reenactment. This paper has been accepted for publication at IEEE Conference on Automatic Face and Gesture Recognition, 2023.