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Awesome GitHub RepositoriesPose Conditioning

Injecting skeletal and pose data as guidance signals into diffusion denoising processes.

Distinct from Diffusion Conditioning Architectures: Specializes general diffusion conditioning to the use of pose-based spatial signals.

Explore 4 awesome GitHub repositories matching artificial intelligence & ml · Pose Conditioning. Refine with filters or upvote what's useful.

Awesome Pose Conditioning GitHub Repositories

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  • humanaigc/animateanyoneالصورة الرمزية لـ HumanAIGC

    HumanAIGC/AnimateAnyone

    14,774عرض على GitHub↗

    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

    Uses spatially-aligned skeleton keypoints as conditioning signals to drive character movement during the denoising process.

    عرض على GitHub↗14,774
  • antgroup/echomimic_v2الصورة الرمزية لـ antgroup

    antgroup/echomimic_v2

    4,597عرض على GitHub↗

    EchoMimic V2 is an AI video generation pipeline and computer vision animation model designed to produce synthetic human animations. It functions as a generative framework that creates semi-body videos by aligning a static reference image with pose movements extracted from a driving video. The system utilizes a diffusion-based generation process combined with latent space compression and a temporal attention mechanism to ensure smooth transitions between frames. It maintains consistent person identity through reference-based encoding and guides spatial placement via pose-driven motion conditio

    Uses pose-based conditioning to guide the spatial placement and movement of the generated human figure.

    Pythonaudio-driven-body-animationaudio-driven-portrait-animationsaudio-driven-talking-face
    عرض على GitHub↗4,597
  • fudan-generative-vision/champالصورة الرمزية لـ fudan-generative-vision

    fudan-generative-vision/champ

    4,253عرض على 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

    Renders processed 3D body data into visual condition maps to guide the animation process.

    Pythonhuman-animationimage-animatiolnvideo-generation
    عرض على GitHub↗4,253
  • lightricks/comfyui-ltxvideoالصورة الرمزية لـ Lightricks

    Lightricks/ComfyUI-LTXVideo

    3,840عرض على GitHub↗

    ComfyUI-LTXVideo is a generative framework and ComfyUI custom node extension for synthesizing high-fidelity video. It utilizes a latent diffusion and transformer-based system to create cinematic clips from text, image, and audio inputs, providing a modular interface for precise control over subject behavior and temporal consistency. The tool distinguishes itself with production-grade capabilities, including the generation of High Dynamic Range video in linear formats such as ARRI LogC3. It supports multimodal synchronization for audio-driven animation and lip-syncing, and allows for the creat

    Implements pose-conditioning layers to steer character movement and camera paths during video synthesis.

    Pythoncomfyuidiffusion-modelsdit
    عرض على GitHub↗3,840
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  2. Artificial Intelligence & ML
  3. Diffusion Conditioning Architectures
  4. Pose Conditioning

استكشف الوسوم الفرعية

  • Condition Map RenderingThe process of rendering body data into visual maps used as diffusion conditioning signals. **Distinct from Pose Conditioning:** Focuses on the generation/rendering of maps rather than the injection of signals into the model.