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EMOSH framework disentangles motion and shape for expressive human animation

By PulseAugur Editorial · [2 sources] ·

Researchers have developed EMOSH, a new framework for generating high-fidelity human animations that addresses the issue of motion-shape entanglement. EMOSH introduces an Expressive Human Model (EHM) that explicitly disentangles shape and pose parameters, resolving the problem of body shape leakage seen in previous methods. The framework also incorporates a robust motion tracker, a Coarse-to-Fine Hybrid Motion Injection strategy for detailed control over expressions and gestures, and a Spatially-Aligned Conditioning mechanism to improve identity consistency. AI

IMPACT Enables more realistic and controllable digital avatars and content creation by improving the fidelity and expressiveness of generated human animations.

RANK_REASON The cluster contains a research paper detailing a new framework for human animation.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

EMOSH framework disentangles motion and shape for expressive human animation

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The cluster contains a research paper detailing a new framework for human animation.
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COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Dongbin Zhang, Hao Liu, Binquan Dai, Kangjie Chen, Chuming Wang, Chen Li, Jing Lyu, Haoqian Wang ·

    EMOSH: Expressive Motion and Shape Disentanglement for Human Animation

    arXiv:2606.28026v1 Announce Type: new Abstract: High-fidelity and expressive controllable human animation is essential for content creation and digital avatar applications. However, existing methods face a dilemma between expressiveness and disentanglement. Mainstream 2D pose-con…

  2. arXiv cs.CV TIER_1 English(EN) · Haoqian Wang ·

    EMOSH: Expressive Motion and Shape Disentanglement for Human Animation

    High-fidelity and expressive controllable human animation is essential for content creation and digital avatar applications. However, existing methods face a dilemma between expressiveness and disentanglement. Mainstream 2D pose-conditioned approaches suffer from "motion-shape en…

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