2 citations · 2 across the 4 of their papers we have counts for
6 papers
SQuadGen: Generating Simple Quad Layouts via Chart Distance Fields
Youkang Kong, Yang Liu, Yue Dong +2
3D shapes from scanning, reconstruction, or AI-generated content often lack simple quad mesh layouts -- critical for efficient editing and modeling. Existing quad-remeshing techniq…
LPA3D: 3D Room-Level Scene Generation from In-the-Wild Images
Ming-Jia Yang, Yu-Xiao Guo, Yang Liu +2
Generating realistic, room-level indoor scenes with semantically plausible and detailed appearances from in-the-wild images is crucial for various applications in VR, AR, and robot…
ComboStoc: Combinatorial Stochasticity for Diffusion Generative Models
Rui Xu, Jiepeng Wang, Hao Pan +6
In this paper, we study an under-explored but important factor of diffusion generative models, i.e., the combinatorial complexity. Data samples are generally high-dimensional, and…
MVD: Efficient Multiview 3D Reconstruction for Multiview Diffusion
Xin-Yang Zheng, Hao Pan, Yu-Xiao Guo +2
As a promising 3D generation technique, multiview diffusion (MVD) has received a lot of attention due to its advantages in terms of generalizability, quality, and efficiency. By fi…
SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Instance Segmentation
Mutian Xu, Xingyilang Yin, Lingteng Qiu +3
We introduce SAMPro3D for zero-shot instance segmentation of 3D scenes. Given the 3D point cloud and multiple posed RGB-D frames of 3D scenes, our approach segments 3D instances by…
StructRe: Rewriting for Structured Shape Modeling
Jiepeng Wang, Hao Pan, Yang Liu +3
Man-made 3D shapes are naturally organized in parts and hierarchies; such structures provide important constraints for shape reconstruction and generation. Modeling shape structure…