14 citations · 23 across the 5 of their papers we have counts for
5 papers
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…
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…
Neural Shadow Mapping
Sayantan Datta, Derek Nowrouzezahrai, Christoph Schied +1
We present a neural extension of basic shadow mapping for fast, high quality hard and soft shadows. We compare favorably to fast pre-filtering shadow mapping, all while producing v…
Physics-Based Inverse Rendering using Combined Implicit and Explicit Geometries
Guangyan Cai, Kai Yan, Zhao Dong +2
Mathematically representing the shape of an object is a key ingredient for solving inverse rendering problems. Explicit representations like meshes are efficient to render in a dif…
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…