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InstantHand reconstructs animatable 3D hand avatars from single images

By PulseAugur Editorial · [1 sources] ·

Researchers have developed InstantHand, a novel framework capable of reconstructing animatable 3D hand avatars from a single image. This method bypasses the need for multi-view capture or per-subject optimization, utilizing off-the-shelf MANO, camera, and mask estimates. To combat issues like alpha leakage and color drift, InstantHand incorporates a Soft Alpha Band regularizer and a Reliability-gated Appearance Transfer technique. The system can generate an avatar in under three seconds and render at a high frame rate, achieving competitive results on benchmark datasets. AI

IMPACT This research advances single-image 3D reconstruction, potentially enabling more realistic and efficient digital avatars for various applications.

RANK_REASON The cluster describes a new research paper detailing a novel method for 3D hand avatar reconstruction. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

InstantHand reconstructs animatable 3D hand avatars from single images

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The cluster describes a new research paper detailing a novel method for 3D hand avatar reconstruction. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Chanho Kim, Muhammad Salman Ali, Kyeonghwan Gwak, Muhammad Shaheryar, Incheol Park, Jeongwan On, Seungryul Baek ·

    InstantHand: Feed-Forward 3D Gaussian Splatting for Animatable Hand Avatar Reconstruction from a Single Image

    arXiv:2611.08330v1 Announce Type: new Abstract: Hand avatar reconstruction typically relies on multi-view capture or per-subject optimization, limiting its scalability. We introduce InstantHand, a feed-forward framework that constructs an animatable 3D Gaussian hand avatar from a…

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