7 papers
AD-GS: Anatomical Density-guided 3D Gaussian Splatting for Sparse-View Dental CBCT Reconstruction
Zonglin Li, Kexian Xie, Feiran Li +5
Sparse-view Cone-Beam Computed Tomography (CBCT) reconstruction is essential for reducing radiation dose and scan effort, but remains underconstrained due to limited projection inf…
Octree-based Video Representation
Rungui Zhou, Chuanzhi Zhou, Yuk-Kit Hou +1
Video models commonly use uniform grids even though visual complexity varies substantially across space and time. We introduce OctVideo, which approximates a video clip with an oct…
Geometry-Preserving Blind Watermarking for Raw 3D Point Clouds
Rungui Zhou, Chuanzhi Zhou, Ruihuan Wang +1
Raw 3D point clouds are a core geometric representation. Establishing their ownership is challenging because point sets are irregular, unstructured, and frequently altered by resam…
OFGS: On-the-Fly Feed-Forward 3D Gaussian Splatting from Unposed Images
Ruiyang Chen, Feiran Li, Chu Zhou +3
Feed-forward 3D Gaussian Splatting (3DGS) enables efficient and high-fidelity novel view synthesis (NVS) from offline image sequences. However, achieving on-the-fly NVS from unpose…
PolarVLM: Bridging the Semantic-Physical Gap in Vision-Language Models
Yuliang Li, Chu Zhou, Heng Guo +3
Mainstream vision-language models (VLMs) fundamentally struggle with severe optical ambiguities, such as reflections and transparent objects, due to the inherent limitations of sta…
PolGS++: Physically-Guided Polarimetric Gaussian Splatting for Fast Reflective Surface Reconstruction
Yufei Han, Chu Zhou, Youwei Lyu +6
Accurate reconstruction of reflective surfaces remains a fundamental challenge in computer vision, with broad applications in real-time virtual reality and digital content creation…
OctGPT: Octree-based Multiscale Autoregressive Models for 3D Shape Generation
Si-Tong Wei, Rui-Huan Wang, Chuan-Zhi Zhou +2
Autoregressive models have achieved remarkable success across various domains, yet their performance in 3D shape generation lags significantly behind that of diffusion models. In t…