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Back to renyurui/pirender

Open-source alternatives to PIRender

30 open-source projects similar to renyurui/pirender, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best PIRender alternative.

  • 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
  • aliaksandrsiarohin/first-order-modelAliaksandrSiarohin avatar

    AliaksandrSiarohin/first-order-model

    15,003View on GitHub↗

    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

    Jupyter Notebookdeep-learninggenerative-modelimage-animation
    View on GitHub↗15,003
  • aliaksandrsiarohin/monkey-netA

    AliaksandrSiarohin/monkey-net

    0View on 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…

    View on GitHub↗0

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  • anhttran/3dmm_basicA

    anhttran/3dmm_basic

    0View on GitHub↗
    View on GitHub↗0
  • anhttran/3dmm_cnnA

    anhttran/3dmm_cnn

    0View on GitHub↗
    View on GitHub↗0
  • anhttran/extreme_3d_facesA

    anhttran/extreme_3d_faces

    0View on GitHub↗
    View on GitHub↗0
  • anilbas/3dmmasstnA

    anilbas/3DMMasSTN

    0View on GitHub↗
    View on GitHub↗0
  • apchenstu/facial_details_synthesisA

    apchenstu/Facial_Details_Synthesis

    0View on GitHub↗
    View on GitHub↗0
  • bytedance/x-portraitbytedance avatar

    bytedance/X-Portrait

    545View on 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
    View on GitHub↗545
  • choyingw/synergynetC

    choyingw/SynergyNet

    0View on GitHub↗
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  • cleardusk/3ddfacleardusk avatar

    cleardusk/3DDFA

    3,678View on GitHub↗

    3DDFA is a 3D face reconstruction tool that generates three-dimensional facial meshes and 68 structural landmarks from a single two-dimensional input image. The project provides utilities for estimating facial pose and depth maps to determine the orientation and position of a face. It includes a geometry exporter to save reconstructed facial shapes into standard file formats for use in external 3D modeling software. The software further covers automated face cropping using landmark-based and landmark-free identification methods, as well as the extraction of specialized mathematical represent

    Python
    View on GitHub↗3,678
  • cleardusk/3ddfa_v2cleardusk avatar

    cleardusk/3DDFA_V2

    3,133View on GitHub↗

    The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

    Python3d3d-face3d-face-alignment
    View on GitHub↗3,133
  • deepinsight/insightfacedeepinsight avatar

    deepinsight/insightface

    29,002View on GitHub↗

    InsightFace is a comprehensive deep learning framework designed for face recognition, biometric identity verification, and feature extraction. It provides a specialized engine for one-to-one verification and one-to-many identification tasks, utilizing convolutional neural networks to transform raw image pixels into high-dimensional vector embeddings. The project includes a complete toolkit for detecting, aligning, and processing facial data to ensure consistent identity discrimination. Beyond core recognition, the platform distinguishes itself through an extensive model management and optimiz

    Pythonage-estimationarcfaceface-alignment
    View on GitHub↗29,002
  • facebookresearch/multifaceF

    facebookresearch/multiface

    0View on GitHub↗
    View on GitHub↗0
  • feiiyin/styleheatFeiiYin avatar

    FeiiYin/StyleHEAT

    658View on GitHub↗

    paper | project website

    Python
    View on GitHub↗658
  • fengju514/expression-netF

    fengju514/Expression-Net

    0View on GitHub↗
    View on GitHub↗0
  • fengju514/face-pose-netF

    fengju514/Face-Pose-Net

    0View on GitHub↗
    View on GitHub↗0
  • gvclab/personaliveGVCLab avatar

    GVCLab/PersonaLive

    3,368View on GitHub↗

    Expressive Portrait Image Animation for Live Streaming

    Python
    View on GitHub↗3,368
  • hangz-nju-cuhk/rotate-and-renderH

    Hangz-nju-cuhk/Rotate-and-Render

    0View on GitHub↗
    View on GitHub↗0
  • harlanhong/cvpr2022-daganH

    harlanhong/CVPR2022-DaGAN

    0View on GitHub↗

    :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:

    View on GitHub↗0
  • harlanhong/iccv2023-mcnetharlanhong avatar

    harlanhong/ICCV2023-MCNET

    254View on GitHub↗

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

    Python
    View on GitHub↗254
  • havenfeng/photometric_optimizationH

    HavenFeng/photometric_optimization

    0View on GitHub↗
    View on GitHub↗0
  • jialetao/damJialeTao avatar

    JialeTao/DAM

    95View on GitHub↗

    CVPR 2022 Structure-Aware Motion Transfer with Deformable Anchor Model

    Python
    View on GitHub↗95
  • kalyo-zjl/wm3drK

    kalyo-zjl/WM3DR

    0View on GitHub↗
    View on GitHub↗0
  • kkakkkka/hunyuanportraitkkakkkka avatar

    kkakkkka/HunyuanPortrait

    0View on GitHub↗

    HunyuanPortrait: Implicit Condition Control for Enhanced Portrait Animation Control

    HTML
    View on GitHub↗0
  • 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
  • matansel/pix2vertexM

    matansel/pix2vertex

    0View on GitHub↗
    View on GitHub↗0
  • mayuelala/followyouremojimayuelala avatar

    mayuelala/FollowYourEmoji

    439View on GitHub↗

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

    Python
    View on GitHub↗439
  • mcbuehler/varitexM

    mcbuehler/VariTex

    0View on GitHub↗
    View on GitHub↗0
  • mdv3101/avfr-ganmdv3101 avatar

    mdv3101/AVFR-Gan

    158View on GitHub↗

    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!

    View on GitHub↗158