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R2Human: Real-Time 3D Human Appearance Rendering from a Single Image
March 22, 2024, 4:46 a.m. | Yuanwang Yang, Qiao Feng, Yu-Kun Lai, Kun Li
cs.CV updates on arXiv.org arxiv.org
Abstract: Rendering 3D human appearance in different views is crucial for achieving holographic communication and immersive VR/AR. Existing methods either rely on multi-camera setups or have low-quality rendered images from a single image. In this paper, we propose R2Human, the first approach for real-time inference and rendering of photorealistic 3D human appearance from a single image. The core of our approach is to combine the strengths of implicit texture fields and explicit neural rendering with our …
abstract arxiv communication cs.cv human image images immersive inference low paper quality real-time rendering type
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