108 citations · 202 across the 11 of their papers we have counts for
12 papers
PSDR-Room: Single Photo to Scene using Differentiable Rendering
Kai Yan, Fujun Luan, MiloŠ HaŠAn +3
A 3D digital scene contains many components: lights, materials and geometries, interacting to reach the desired appearance. Staging such a scene is time-consuming and requires both…
A Hierarchical Architecture for Neural Materials
Bowen Xue, Shuang Zhao, Henrik Wann Jensen +1
Neural reflectance models are capable of reproducing the spatially-varying appearance of many real-world materials at different scales. Unfortunately, existing techniques such as N…
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…
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…
A Practical Ply-Based Appearance Modeling for Knitted Fabrics
Zahra Montazeri, Soren Gammelmark, Henrik W. Jensen +1
Modeling the geometry and the appearance of knitted fabrics has been challenging due to their complex geometries and interactions with light. Previous surface-based models have 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…
MaterialGAN: Reflectance Capture using a Generative SVBRDF Model
Yu Guo, Cameron Smith, Miloš Hašan +2
We address the problem of reconstructing spatially-varying BRDFs from a small set of image measurements. This is a fundamentally under-constrained problem, and previous work has re…
On the Optical Accuracy of the Salvator Mundi
Marco, Liang, Michael T. Goodrich +1
A debate in the scientific literature has arisen regarding whether the orb depicted in Salvator Mundi, which has been attributed by some experts to Leonardo da Vinci, was rendered…
A Bayesian Inference Framework for Procedural Material Parameter Estimation
Yu Guo, Milos Hasan, Lingqi Yan +1
Procedural material models have been gaining traction in many applications thanks to their flexibility, compactness, and easy editability. We explore the inverse rendering problem…
Mechanics-Aware Modeling of Cloth Appearance
Zahra Montazeri, Chang Xiao, Yun +3
Micro-appearance models have brought unprecedented fidelity and details to cloth rendering. Yet, these models neglect fabric mechanics: when a piece of cloth interacts with the env…
Inverse Transport Networks
Chengqian Che, Fujun Luan, Shuang Zhao +2
We introduce inverse transport networks as a learning architecture for inverse rendering problems where, given input image measurements, we seek to infer physical scene parameters…
Inverse Diffusion Curves using Shape Optimization
Shuang Zhao, Fredo Durand, Changxi Zheng
The inverse diffusion curve problem focuses on automatic creation of diffusion curve images that resemble user provided color fields. This problem is challenging since the 1D curve…