10 citations · 10 across the 3 of their papers we have counts for
4 papers · 1 filter
TaoTex: Boosting Texture Detail Fidelity for Native 3D Material Generation
Xiuchao Wu, Shuichang Lai, Jiangjing Lyu +1
Recent 3D generation models can produce accurate geometries while still struggling to reconstruct detailed textures. We propose a diffusion-based native 3D material generation mode…
LoG3D: Ultra-High-Resolution 3D Shape Modeling via Local-to-Global Partitioning
Xinran Yang, Shuichang Lai, Jiangjing Lyu +6
Generating high-fidelity 3D contents remains a fundamental challenge due to the complexity of representing arbitrary topologies-such as open surfaces and intricate internal structu…
GlossyGS: Inverse Rendering of Glossy Objects with 3D Gaussian Splatting
Shuichang Lai, Letian Huang, Jie Guo +6
Reconstructing objects from posed images is a crucial and complex task in computer graphics and computer vision. While NeRF-based neural reconstruction methods have exhibited impre…
GLPanoDepth: Global-to-Local Panoramic Depth Estimation
Jiayang Bai, Shuichang Lai, Haoyu Qin +2
In this paper, we propose a learning-based method for predicting dense depth values of a scene from a monocular omnidirectional image. An omnidirectional image has a full field-of-…