most citedDeep Learning Methods for Calibrated Photometric Stereo and Beyond

13 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 2 cited

Surface Geometry Processing: An Efficient Normal-based Detail Representation

Wuyuan Xie, Miaohui Wang, Di Lin +2

With the rapid development of high-resolution 3D vision applications, the traditional way of manipulating surface detail requires considerable memory and computing time. To address…

cs.CV2023

CVSformer: Cross-View Synthesis Transformer for Semantic Scene Completion

Haotian Dong, Enhui Ma, Lubo Wang +7

Semantic scene completion (SSC) requires an accurate understanding of the geometric and semantic relationships between the objects in the 3D scene for reasoning the occluded object…

cs.CV2023★ 1 cited

Just Noticeable Visual Redundancy Forecasting: A Deep Multimodal-driven Approach

Wuyuan Xie, Shukang Wang, Sukun Tian +3

Just noticeable difference (JND) refers to the maximum visual change that human eyes cannot perceive, and it has a wide range of applications in multimedia systems. However, most e…

cs.CV2023

Scale-aware Two-stage High Dynamic Range Imaging

Hui Li, Xuyang Yao, Wuyuan Xie +1

Deep high dynamic range (HDR) imaging as an image translation issue has achieved great performance without explicit optical flow alignment. However, challenges remain over content…

cs.CV2022★ 13 cited

Deep Learning Methods for Calibrated Photometric Stereo and Beyond

Yakun Ju, Kin-Man Lam, Wuyuan Xie +3

Photometric stereo recovers the surface normals of an object from multiple images with varying shading cues, i.e., modeling the relationship between surface orientation and intensi…