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cs.CV2023
Spatiotemporally Consistent HDR Indoor Lighting Estimation
Zhengqin Li, Li Yu, Mikhail Okunev +2
We propose a physically-motivated deep learning framework to solve a general version of the challenging indoor lighting estimation problem. Given a single LDR image with a depth ma…
cs.CV2023
Neural-PBIR Reconstruction of Shape, Material, and Illumination
Cheng Sun, Guangyan Cai, Zhengqin Li +6
Reconstructing the shape and spatially varying surface appearances of a physical-world object as well as its surrounding illumination based on 2D images (e.g., photographs) of the…
cs.CV2021
Unified Shape and SVBRDF Recovery using Differentiable Monte Carlo Rendering
Fujun Luan, Shuang Zhao, Kavita Bala +1
Reconstructing the shape and appearance of real-world objects using measured 2D images has been a long-standing problem in computer vision. In this paper, we introduce a new analys…