3 citations · 4 across the 2 of their papers we have counts for
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cs.CV2022★ 1 cited
NeIF: Representing General Reflectance as Neural Intrinsics Fields for Uncalibrated Photometric Stereo
Zongrui Li, Qian Zheng, Feishi Wang +3
Uncalibrated photometric stereo (UPS) is challenging due to the inherent ambiguity brought by unknown light. Existing solutions alleviate the ambiguity by either explicitly associa…
cs.CV2022★ 3 cited
Edge-preserving Near-light Photometric Stereo with Neural Surfaces
Heng Guo, Hiroaki Santo, Boxin Shi +1
This paper presents a near-light photometric stereo method that faithfully preserves sharp depth edges in the 3D reconstruction. Unlike previous methods that rely on finite differe…