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bytedance avatar

bytedance/X-Portrait

0
View on GitHub↗
545 stars·49 forks·Python·Apache-2.0·24 views

X Portrait

X-Portrait: Expressive Portrait Animation with Hierarchical Motion Attention You Xie , Hongyi Xu , Guoxian Song , Chao Wang , Yichun Shi , Linjie Luo   ByteDance Inc.

Features

  • Controllable Generation - Animates expressive portraits using hierarchical motion attention.
  • Image Driven Animation - Hierarchical motion attention for expressive portrait animation.

Star history

Star history chart for bytedance/x-portraitStar history chart for bytedance/x-portrait

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with X Portrait

These projects share indexed features with X Portrait. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • kwaivgi/liveportraitKwaiVGI avatar

    KwaiVGI/LivePortrait

    18,632View on GitHub↗

    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

    Python
    View on GitHub↗18,632
  • kkakkkka/hunyuanportraitkkakkkka avatar

    kkakkkka/HunyuanPortrait

    0View on GitHub↗

    HunyuanPortrait: Implicit Condition Control for Enhanced Portrait Animation Control

    HTML
    View on GitHub↗0
  • winfredy/sadtalkerWinfredy avatar

    Winfredy/SadTalker

    13,919View on GitHub↗

    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

    Python
    View on GitHub↗13,919
  • ali-vilab/unianimate-ditA

    ali-vilab/UniAnimate-DiT

    0View on GitHub↗
    View on GitHub↗0
Compare all 30 related projects→

Frequently asked questions

What does bytedance/x-portrait do?

X-Portrait: Expressive Portrait Animation with Hierarchical Motion Attention You Xie , Hongyi Xu , Guoxian Song , Chao Wang , Yichun Shi , Linjie Luo   ByteDance Inc.

What are the main features of bytedance/x-portrait?

The main features of bytedance/x-portrait are: Controllable Generation, Image Driven Animation.

Which projects share features with bytedance/x-portrait?

Projects with overlapping indexed features include: kkakkkka/hunyuanportrait — HunyuanPortrait: Implicit Condition Control for Enhanced Portrait Animation Control. kwaivgi/liveportrait — LivePortrait is a deep learning framework for portrait animation that transfers facial expressions from a driving… winfredy/sadtalker — SadTalker is a generative framework designed to synthesize expressive talking head videos from static portrait images.… ali-vilab/unianimate-dit. alibaba/tora — [CVPR'25]Tora: Trajectory-oriented Diffusion Transformer for Video Generation. aliaksandrsiarohin/monkey-net — This repository contains the source code for the CVPR oral paper Animating Arbitrary Objects via Deep Motion Transfer…