HARP: Personalized Hand Reconstruction from a Monocular RGB Video
Korrawe Karunratanakul, Sergey Prokudin, Otmar Hilliges, Siyu Tang
摘要
sergey.prokudin,otmar.hilliges,siyu.tang@inf.ethz.ch https://korrawe.github.io/harp-project/ Figure 1. Given a short monocular video of a hand and a coarse hand pose and shape estimation for initialization, we reconstruct a photorealistic hand avatar exhibiting faithful personalized appearance and geometry using standard explicit representations and a differentiable renderer without any neural networks. Compared to the baselines, our hand avatar demonstrates better-reconstructed geometry and appearance. The hand avatar can be used to render high-fidelity hand images in novel views and poses in real-time, which serves as a foundation for many AR/VR applications.
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