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About this paper

Yilan Dong, Wenqing Wang, Qing Wang, Jiahao Yang, Haohe Liu, Xiatuan Zhu, Gregory Slabaugh, Shanxin Yuan

HandSCS improves novel-pose rendering of hand avatars by attaching a skeleton-relative structural coordinate to each 3D Gaussian and using it to guide deformation and cross-pose matching. On held-out poses from five InterHand2.6M subjects, gains over the strongest baseline are 1.24 dB PSNR, 0.008 SSIM, and 33.4% lower LPIPS. The evidence concerns image rendering, not geometry or user experience.

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