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NECA: Neural Customizable Human Avatar
March 18, 2024, 4:45 a.m. | Junjin Xiao, Qing Zhang, Zhan Xu, Wei-Shi Zheng
cs.CV updates on arXiv.org arxiv.org
Abstract: Human avatar has become a novel type of 3D asset with various applications. Ideally, a human avatar should be fully customizable to accommodate different settings and environments. In this work, we introduce NECA, an approach capable of learning versatile human representation from monocular or sparse-view videos, enabling granular customization across aspects such as pose, shadow, shape, lighting and texture. The core of our approach is to represent humans in complementary dual spaces and predict disentangled …
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