1 citations · 1 across the 4 of their papers we have counts for
5 papers
Mesh BDF: Barycentric Dominance Field for 3D Native Mesh Generation
Gaochao Song, Haohan Weng, Luo Zhang +2
Autoregressive (AR) modeling has recently achieved remarkable progress in native 3D mesh generation, largely due to its natural ability to handle variable-length, discrete data str…
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…
Topology-Preserved Auto-regressive Mesh Generation in the Manner of Weaving Silk
Gaochao Song, Zibo Zhao, Haohan Weng +3
Existing auto-regressive mesh generation approaches suffer from ineffective topology preservation, which is crucial for practical applications. This limitation stems from previous…
Graph-Guided Scene Reconstruction from Images with 3D Gaussian Splatting
Chong Cheng, Gaochao Song, Yiyang Yao +3
This paper investigates an open research challenge of reconstructing high-quality, large 3D open scenes from images. It is observed existing methods have various limitations, such…
GVKF: Gaussian Voxel Kernel Functions for Highly Efficient Surface Reconstruction in Open Scenes
Gaochao Song, Chong Cheng, Hao Wang
In this paper we present a novel method for efficient and effective 3D surface reconstruction in open scenes. Existing Neural Radiance Fields (NeRF) based works typically require e…