12 citations · 13 across the 20 of their papers we have counts for
8 papers · 1 filter
Hierarchical Flow Matching for 3D Point Cloud Generation
Linhao Wang, Qichang Zhang, Ye Su +1
Generating high-quality 3D point clouds requires capturing both global shape topology and local geometric details. Existing flow-based methods rely on continuous normalizing flows…
Robust and Efficient Monocular 3D Gaussian SLAM for Kilometer-Scale Outdoor Scenes
Sicheng Yu, Dongxu Shen, Beizhen Zhao +2
Scaling monocular 3D Gaussian Splatting (3DGS) SLAM to kilometer-level outdoor environments poses two tightly coupled challenges: fragile long-term pose tracking and excessive memo…
HorizonStream: Long-Horizon Attention for Streaming 3D Reconstruction
Chong Cheng, Peilin Tao, Nanjie Yao +9
Online 3D reconstruction requires estimating camera pose and scene geometry under strict causal and bounded-memory constraints. Existing methods often suffer from drift, jitter, or…
Generator-Refiner-Examiner: A Tri-Module Data Augmentation Framework for 3D Human Avatar Learning from Monocular Videos
Gangjian Zhang, Jian Shu, Sicheng Yu +3
This paper addresses the challenge of reconstructing photorealistic and animatable 3D human avatars from monocular videos. While existing methods rely on combining per-subject opti…
MMGS: 10 Compressed 3DGS through Optimal Transport Aggregation based on Multi-view Ranking
Beizhen Zhao, Sicheng Yu, Ziran Yin +2
While 3D Gaussian Splatting (3DGS) has revolutionized 3D reconstruction, it suffers from significant overhead due to massive redundant primitives. Existing compression methods typi…
3D Skew Gaussian Splatting with Any Camera Trajectory Visualization Engine
Beizhen Zhao, Yifan Zhou, Gaochao Song +2
While 3D Gaussian Splatting (3DGS) has revolutionized real-time photorealistic view synthesis, its fundamental reliance on symmetric Gaussian distributions introduces visual artifa…
LongStream: Long-Sequence Streaming Autoregressive Visual Geometry
Chong Cheng, Xianda Chen, Tao Xie +5
Long-sequence streaming 3D reconstruction remains a significant open challenge. Existing autoregressive models often fail when processing long sequences because they anchor poses t…
Pseudo-View Enhancement via Confidence Fusion for Unposed Sparse-View Reconstruction
Beizhen Zhao, Sicheng Yu, Guanzhi Ding +2
3D scene reconstruction under unposed sparse viewpoints is a highly challenging yet practically important problem, especially in outdoor scenes due to complex lighting and scale va…