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FlexiAvatar framework generates 3D human avatars by optimizing visible body regions

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced FlexiAvatar, a novel framework for generating animatable 3D human avatars from monocular video. This method uniquely optimizes only the visible body regions, thereby preventing artifacts caused by unobserved limbs. FlexiAvatar integrates occlusion-robust body model tracking with diffusion-based texture generation for unseen areas, achieving an average PSNR improvement of approximately 3% across various datasets. The approach also offers reduced runtime and memory overhead in scenarios with partial visibility. AI

IMPACT This research could enhance realism and efficiency in AR/VR applications and digital content creation by improving 3D avatar generation.

RANK_REASON The cluster contains a research paper detailing a new method for 3D 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 →

FlexiAvatar framework generates 3D human avatars by optimizing visible body regions

COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Yihalem Yimolal Tiruneh, Muhammad Salman Ali, Uyoung Jeong, Muneeb A. Khan, MD Khalequzzaman Chowdhury Sayem, Allanur Bayramgeldiyev, Binod Bhattarai, Seungryul Baek ·

    FlexiAvatar: Unified 3D Gaussian Human Avatars Under Arbitrary Body Visibility

    arXiv:2607.19100v1 Announce Type: new Abstract: Reconstructing animatable 3D human avatars from monocular video is a fundamental problem in computer vision with broad applications in AR/VR and digital content creation. Existing approaches typically couple parametric body models w…

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