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Generalizable Neural Human Renderer
April 23, 2024, 4:47 a.m. | Mana Masuda, Jinhyung Park, Shun Iwase, Rawal Khirodkar, Kris Kitani
cs.CV updates on arXiv.org arxiv.org
Abstract: While recent advancements in animatable human rendering have achieved remarkable results, they require test-time optimization for each subject which can be a significant limitation for real-world applications. To address this, we tackle the challenging task of learning a Generalizable Neural Human Renderer (GNH), a novel method for rendering animatable humans from monocular video without any test-time optimization. Our core method focuses on transferring appearance information from the input video to the output image plane by …
abstract applications arxiv cs.cv human humans novel optimization rendering results test type world
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