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Back to iglict/sketchvideo

Open-source alternatives to SketchVideo

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

  • 3dtopia/gendop3

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  • alibaba/toraAvatar de alibaba

    alibaba/Tora

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    CVPR'25Tora: Trajectory-oriented Diffusion Transformer for Video Generation

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    Ver en GitHub↗1,239
  • anycharv/anycharvA

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  • arthur-qiu/freetrajA

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  • bcmi/light-a-videoB

    bcmi/Light-A-Video

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  • bytedance/atiB

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  • bytedance/video-as-promptB

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  • 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
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  • chen-yingjie/perception-as-controlC

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  • cvg-bonn/egocontrolC

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  • dvlab-research/controlnextD

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  • fudan-generative-vision/champAvatar de fudan-generative-vision

    fudan-generative-vision/champ

    4,253Ver en GitHub↗

    Champ is a generative vision system and controllable image-to-video generator designed for human image animation. It uses a diffusion-based video synthesizer and 3D parametric guidance to transform a single reference image into a consistent sequence of motion based on external driving data. The framework distinguishes itself through a human pose transfer system that employs 3D body parametric extraction and coordinate-space alignment. This allows the model to map motion from a driving video to a reference person by adjusting for body scales and camera perspectives using depth and semantic con

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  • gulucaptain/dynamictrlG

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  • humanaigc/animateanyoneAvatar de HumanAIGC

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    AnimateAnyone is an appearance-preserving video synthesizer designed for character animation from a single static image. It functions as a diffusion image-to-video generator that transforms a source image into a high-fidelity video sequence while maintaining consistent character identity, clothing, and visual details across all frames. The system enables video-driven character reenactment by transferring motions, facial expressions, and body movements from a reference video onto a static character. It employs pose-guided video generation to control movement via skeleton keypoints and pose sig

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  • hyeonho99/reangle-videoH

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  • iamcreateai/layeranimateI

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  • kkakkkka/hunyuanportraitAvatar de kkakkkka

    kkakkkka/HunyuanPortrait

    0Ver en GitHub↗

    HunyuanPortrait: Implicit Condition Control for Enhanced Portrait Animation Control

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  • kwaivgi/liveportraitAvatar de KwaiVGI

    KwaiVGI/LivePortrait

    18,632Ver en 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

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  • kwaivgi/recammasterK

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