1 citations · 3 across the 7 of their papers we have counts for
7 papers
Advancing Structured Priors for Sparse-Voxel Surface Reconstruction
Ting-Hsun Chi, Chu-Rong Chen, Chi-Tun Hsu +4
Reconstructing accurate surfaces with radiance fields has progressed rapidly, yet two promising explicit representations, 3D Gaussian Splatting and sparse-voxel rasterization, exhi…
OpenVoxel: Training-Free Grouping and Captioning Voxels for Open-Vocabulary 3D Scene Understanding
Sheng-Yu Huang, Jaesung Choe, Yu-Chiang Frank Wang +1
We propose OpenVoxel, a training-free algorithm for grouping and captioning sparse voxels for the open-vocabulary 3D scene understanding tasks. Given the sparse voxel rasterization…
3D Gaussian Inpainting with Depth-Guided Cross-View Consistency
Sheng-Yu Huang, Zi-Ting Chou, Yu-Chiang Frank Wang
When performing 3D inpainting using novel-view rendering methods like Neural Radiance Field (NeRF) or 3D Gaussian Splatting (3DGS), how to achieve texture and geometry consistency…
Toward Scene Graph and Layout Guided Complex 3D Scene Generation
Yu-Hsiang Huang, Wei Wang, Sheng-Yu Huang +1
Recent advancements in object-centric text-to-3D generation have shown impressive results. However, generating complex 3D scenes remains an open challenge due to the intricate rela…
GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding
Zi-Ting Chou, Sheng-Yu Huang, I-Jieh Liu +1
Utilizing multi-view inputs to synthesize novel-view images, Neural Radiance Fields (NeRF) have emerged as a popular research topic in 3D vision. In this work, we introduce a Gener…
Data-Efficient 3D Visual Grounding via Order-Aware Referring
Tung-Yu Wu, Sheng-Yu Huang, Yu-Chiang Frank Wang
3D visual grounding aims to identify the target object within a 3D point cloud scene referred to by a natural language description. Previous works usually require significant data…
TPA3D: Triplane Attention for Fast Text-to-3D Generation
Bin-Shih Wu, Hong-En Chen, Sheng-Yu Huang +1
Due to the lack of large-scale text-3D correspondence data, recent text-to-3D generation works mainly rely on utilizing 2D diffusion models for synthesizing 3D data. Since diffusio…