2 citations · 2 across the 5 of their papers we have counts for
5 papers
SRUG: Shadow-Guided Relightable Urban Scene with Generation Model
Yonghao Zhao, Zexin Yin, Jian Yang +2
Creating relightable urban scenes from images or videos is widely useful but highly ill-posed. Urban environments are typically unbounded and extend beyond the visible regions. As…
3D-Fixer: Coarse-to-Fine In-place Completion for 3D Scenes from a Single Image
Ze-Xin Yin, Liu Liu, Xinjie Wang +4
Compositional 3D scene generation from a single view requires the simultaneous recovery of scene layout and 3D assets. Existing approaches mainly fall into two categories: feed-for…
DreamLifting: A Plug-in Module Lifting MV Diffusion Models for 3D Asset Generation
Ze-Xin Yin, Jiaxiong Qiu, Liu Liu +5
The labor- and experience-intensive creation of 3D assets with physically based rendering (PBR) materials demands an autonomous 3D asset creation pipeline. However, most existing 3…
MS-NeRF: Multi-Space Neural Radiance Fields
Ze-Xin Yin, Peng-Yi Jiao, Jiaxiong Qiu +2
Existing Neural Radiance Fields (NeRF) methods suffer from the existence of reflective objects, often resulting in blurry or distorted rendering. Instead of calculating a single ra…
Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections
Jiaxiong Qiu, Peng-Tao Jiang, Yifan Zhu +3
Neural implicit methods have achieved high-quality 3D object surfaces under slight specular highlights. However, high specular reflections (HSR) often appear in front of target obj…