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- W4353116158 abstract "We present a method for fast 3D reconstruction and real-time rendering of dynamic humans from monocular videos with accompanying parametric body fits. Our method can reconstruct a dynamic human in less than 3h using a single GPU, compared to recent state-of-the-art alternatives that take up to 72h. These speedups are obtained by using a lightweight deformation model solely based on linear blend skinning, and an efficient factorized volumetric representation for modeling the shape and color of the person in canonical pose. Moreover, we propose a novel local ray marching rendering which, by exploiting standard GPU hardware and without any baking or conversion of the radiance field, allows visualizing the neural human on a mobile VR device at 40 frames per second with minimal loss of visual quality. Our experimental evaluation shows superior or competitive results with state-of-the art methods while obtaining large training speedup, using a simple model, and achieving real-time rendering." @default.
- W4353116158 created "2023-03-23" @default.
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- W4353116158 date "2023-03-21" @default.
- W4353116158 modified "2023-10-17" @default.
- W4353116158 title "Real-time volumetric rendering of dynamic humans" @default.
- W4353116158 doi "https://doi.org/10.48550/arxiv.2303.11898" @default.
- W4353116158 hasPublicationYear "2023" @default.
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