activity
20202025
most citedNeural Reflectance Fields for Appearance Acquisition

110 citations · 228 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025

IntrinsicWeather: Controllable Weather Editing in Intrinsic Space

Yixin Zhu, Zuo-Liang Zhu, Jian Yang +3

We present IntrinsicWeather, a diffusion-based framework for controllable weather editing in intrinsic space. Our framework includes two components based on diffusion priors: an in…

cs.GR2025

Stochastic Ray Tracing of Transparent 3D Gaussians

Xin Sun, Iliyan Georgiev, Yun Fei +1

3D Gaussian splatting has been widely adopted as a 3D representation for novel-view synthesis, relighting, and 3D generation tasks. It delivers realistic and detailed results throu…

cs.GR2025★ 1 cited

Free Your Hands: Lightweight Turntable-Based Object Capture Pipeline

Jiahui Fan, Fujun Luan, Jian Yang +2

Novel view synthesis (NVS) from multiple captured photos of an object is a widely studied problem. Achieving high quality typically requires dense sampling of input views, which ca…

cs.CV2021★ 3 cited

NeuTex: Neural Texture Mapping for Volumetric Neural Rendering

Fanbo Xiang, Zexiang Xu, Miloš Hašan +3

Recent work has demonstrated that volumetric scene representations combined with differentiable volume rendering can enable photo-realistic rendering for challenging scenes that me…

cs.CV2020★ 108 cited

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…

cs.CV2020★ 110 cited

Neural Reflectance Fields for Appearance Acquisition

Sai Bi, Zexiang Xu, Pratul Srinivasan +6

We present Neural Reflectance Fields, a novel deep scene representation that encodes volume density, normal and reflectance properties at any 3D point in a scene using a fully-conn…