16 citations · 55 across the 10 of their papers we have counts for
11 papers
SAM3D-Part: Interactive Part Selection and Generation from 3D Objects
Jiahao Chang, Dong Du, Wanhu Sun +6
Part-level control is essential for modern 3D asset creation, where objects are frequently edited, reused, animated, or fabricated through their individual components. In many such…
UniPart: Part-Level 3D Generation with Unified 3D Geom-Seg Latents
Xufan He, Yushuang Wu, Xiaoyang Guo +5
Part-level 3D generation is essential for applications requiring decomposable and structured 3D synthesis. However, existing methods either rely on implicit part segmentation with…
SketchMetaFace: A Learning-based Sketching Interface for High-fidelity 3D Character Face Modeling
Zhongjin Luo, Dong Du, Heming Zhu +3
Modeling 3D avatars benefits various application scenarios such as AR/VR, gaming, and filming. Character faces contribute significant diversity and vividity as a vital component of…
3D Keypoint Estimation Using Implicit Representation Learning
Xiangyu Zhu, Dong Du, Haibin Huang +2
In this paper, we tackle the challenging problem of 3D keypoint estimation of general objects using a novel implicit representation. Previous works have demonstrated promising resu…
NerVE: Neural Volumetric Edges for Parametric Curve Extraction from Point Cloud
Xiangyu Zhu, Dong Du, Weikai Chen +3
Extracting parametric edge curves from point clouds is a fundamental problem in 3D vision and geometry processing. Existing approaches mainly rely on keypoint detection, a challeng…
PIFu for the Real World: A Self-supervised Framework to Reconstruct Dressed Human from Single-view Images
Zhangyang Xiong, Dong Du, Yushuang Wu +4
It is very challenging to accurately reconstruct sophisticated human geometry caused by various poses and garments from a single image. Recently, works based on pixel-aligned impli…