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OMEGA-Avatar generates 360° Gaussian avatars from single images

By PulseAugur Editorial · [1 sources] ·

Researchers have developed OMEGA-Avatar, a novel framework for generating high-fidelity, animatable 3D Gaussian avatars from a single image. This system addresses limitations in existing methods by simultaneously achieving feed-forward generation, modeling a complete 360° head, and ensuring animation readiness. Key innovations include a semantic-aware mesh deformation module for improved hair modeling and a multi-view feature splatting module for robust feature decoding across viewpoints, resulting in state-of-the-art performance in 360° avatar completeness and identity preservation. AI

IMPACT This research advances 3D avatar creation, potentially enabling more realistic virtual representations in gaming, VR, and metaverse applications.

RANK_REASON This is a research paper detailing a new method for 3D avatar generation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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

OMEGA-Avatar generates 360° Gaussian avatars from single images

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11 / 100
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This is a research paper detailing a new method for 3D avatar generation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Zehao Xia, Yiqun Wang, Zhengda Lu, Kai Liu, Jun Xiao, Peter Wonka ·

    OMEGA-Avatar: One-shot Modeling of 360{\deg} Gaussian Avatars

    arXiv:2602.11693v2 Announce Type: replace-cross Abstract: Creating high-fidelity, animatable 3D avatars from a single image remains a formidable challenge. We identified three desirable attributes of avatar generation: 1) the method should be feed-forward, 2) model a 360{\deg} fu…

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