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mayuelala avatar

mayuelala/FollowYourEmoji

0
View on GitHub↗
439 estrellas·36 forks·Python·4 vistas

FollowYourEmoji

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

Features

  • Image Driven Animation - Fine-controllable and expressive portrait animation using emoji-like inputs.

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Preguntas frecuentes

¿Qué hace mayuelala/followyouremoji?

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

¿Cuáles son las características principales de mayuelala/followyouremoji?

Las características principales de mayuelala/followyouremoji son: Image Driven Animation.

¿Qué alternativas de código abierto existen para mayuelala/followyouremoji?

Las alternativas de código abierto para mayuelala/followyouremoji incluyen: winfredy/sadtalker — SadTalker is a generative framework designed to synthesize expressive talking head videos from static portrait images.… bytedance/x-portrait — X-Portrait: Expressive Portrait Animation with Hierarchical Motion Attention You Xie , Hongyi Xu , Guoxian Song , Chao… feiiyin/styleheat — paper | project website. gvclab/personalive — Expressive Portrait Image Animation for Live Streaming. harlanhong/cvpr2022-dagan — :fire: If DaGAN is helpful in your photos/projects, please help to :star: it or recommend it to your friends.… aliaksandrsiarohin/monkey-net — This repository contains the source code for the CVPR oral paper Animating Arbitrary Objects via Deep Motion Transfer…

Alternativas open-source a FollowYourEmoji

Proyectos open-source similares, clasificados según cuántas características comparten con FollowYourEmoji.
  • winfredy/sadtalkerAvatar de Winfredy

    Winfredy/SadTalker

    13,919Ver en 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
    Ver en GitHub↗13,919
  • bytedance/x-portraitAvatar de bytedance

    bytedance/X-Portrait

    545Ver en GitHub↗

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

    Python
    Ver en GitHub↗545
  • feiiyin/styleheatAvatar de FeiiYin

    FeiiYin/StyleHEAT

    658Ver en GitHub↗

    paper | project website

    Python
    Ver en GitHub↗658
  • aliaksandrsiarohin/monkey-netA

    AliaksandrSiarohin/monkey-net

    0Ver en GitHub↗

    This repository contains the source code for the CVPR oral paper Animating Arbitrary Objects via Deep Motion Transfer by Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci and Nicu Sebe. We call the proposed deep framework Monkey-Net, as it enables motion transfer by…

    Ver en GitHub↗0
Ver las 24 alternativas a FollowYourEmoji→