7 papers · 1 filter
F-RNG: Feed-Forward Relightable Neural Gaussians
Guangming Fu, Jiahui Fan, Jian Yang +2
Capturing relightable 3D assets from real-world objects is a widely researched problem. Several per-scene optimization-based methods, based on 3D Gaussian splatting (3DGS), support…
PureSample: Neural Materials Learned by Sampling Microgeometry
Zixuan Li, Zixiong Wang, Jian Yang +2
Traditional physically-based material models rely on analytically derived bidirectional reflectance distribution functions (BRDFs), typically by considering statistics of micro-pri…
Gaussian Splatting with Discretized SDF for Relightable Assets
Zuo-Liang Zhu, Jian Yang, Beibei Wang
3D Gaussian splatting (3DGS) has shown its detailed expressive ability and highly efficient rendering speed in the novel view synthesis (NVS) task. The application to inverse rende…
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…
A Micro-Ellipsoid Model for Wet Porous Materials Rendering
Gaole Pan, Yuang Cui, Jian Yang +1
Wet porous materials, like wet ground, moist walls, or wet cloth, are common in the real world. These materials consist of transmittable particles surrounded by liquid, where the i…
Constant-Cost Spatio-Angular Prefiltering of Glinty Appearance Using Tensor Decomposition
Hong Deng, Yang Liu, Beibei Wang +4
The detailed glinty appearance from complex surface microstructures enhances the level of realism, but is both space- and time-consuming to render, especially when viewed from far…