Bring portraits to life!

text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)

Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance

VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models

[ICCV 2023 Oral] Text-to-Image Diffusion Models are Zero-Shot Video Generators

A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.

InternGPT (iGPT) is an open source demo platform where you can easily showcase your AI models. Now it supports DragGAN, ChatGPT, ImageBind, multimodal chat like GPT-4, SAM, interactive image editing, etc. Try it at igpt.opengvlab.com (支持DragGAN、ChatGPT、ImageBind、SAM的在线Demo系统)

[ECCV 2024, Oral] DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

MuseV: Infinite-length and High Fidelity Virtual Human Video Generation with Visual Conditioned Parallel Denoising

Code of Pyramidal Flow Matching for Efficient Video Generative Modeling

High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance

Official implementations for paper: DreamTalk: When Expressive Talking Head Generation Meets Diffusion Probabilistic Models

MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators

[AAAI 2024] Follow-Your-Pose: This repo is the official implementation of "Follow-Your-Pose : Pose-Guided Text-to-Video Generation using Pose-Free Videos"

Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch

Code for Motion Representations for Articulated Animation paper

MiniSora: A community aims to explore the implementation path and future development direction of Sora.

Code for Paper "UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation".

Official JAX implementation of MAGVIT: Masked Generative Video Transformer

A python tool that uses GPT-4, FFmpeg, and OpenCV to automatically analyze videos, extract the most interesting sections, and crop them for an improved viewing experience.