activity
20182021
most citedLearning to Reconstruct Shapes from Unseen Classes

80 citations · 98 across the 6 of their papers we have counts for

collaborators

12 papers

cs.CV20215 cited

Editing Conditional Radiance Fields

Steven Liu, Xiuming Zhang, Zhoutong Zhang +3

A neural radiance field (NeRF) is a scene model supporting high-quality view synthesis, optimized per scene. In this paper, we explore enabling user editing of a category-level NeR…

cs.CV20205 cited

NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis

Pratul P. Srinivasan, Boyang Deng, Xiuming Zhang +3

We present a method that takes as input a set of images of a scene illuminated by unconstrained known lighting, and produces as output a 3D representation that can be rendered from…

cs.CV20205 cited

Multi-Plane Program Induction with 3D Box Priors

Yikai Li, Jiayuan Mao, Xiuming Zhang +4

We consider two important aspects in understanding and editing images: modeling regular, program-like texture or patterns in 2D planes, and 3D posing of these planes in the scene.…

cs.GR2020

Light Stage Super-Resolution: Continuous High-Frequency Relighting

Tiancheng Sun, Zexiang Xu, Xiuming Zhang +6

The light stage has been widely used in computer graphics for the past two decades, primarily to enable the relighting of human faces. By capturing the appearance of the human subj…

cs.CV2020

Neural Light Transport for Relighting and View Synthesis

Xiuming Zhang, Sean Fanello, Yun-Ta Tsai +10

The light transport (LT) of a scene describes how it appears under different lighting and viewing directions, and complete knowledge of a scene's LT enables the synthesis of novel…

cs.CV20201 cited

Perspective Plane Program Induction from a Single Image

Yikai Li, Jiayuan Mao, Xiuming Zhang +3

We study the inverse graphics problem of inferring a holistic representation for natural images. Given an input image, our goal is to induce a neuro-symbolic, program-like represen…