activity
20222026
most citedCSDN: Cross-modal Shape-transfer Dual-refinement Network for Point Cloud Completion

57 citations · 64 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CV2026

PartLLM: A Unified Multimodal Foundation for 3D Part Segmentation

Zhe Zhu, Yiheng Zhang, Peng Li +9

Part segmentation is a fundamental problem in computer graphics and 3D vision. Recent works have expanded 3D part segmentation beyond fixed taxonomies, but existing approaches typi…

cs.CV2026

Efficient RWKV-based Representation Learning for 3D Point Clouds

Yun Liu, Xuefeng Yan, Liangliang Nan +5

The recent receptance weighted key value (RWKV) model combines RNN-style recurrence, offering a linear-complexity alternative to Transformers' quadratic self-attention for modeling…

cs.CV2025

BSGS: Bi-stage 3D Gaussian Splatting for Camera Motion Deblurring

An Zhao, Piaopiao Yu, Zhe Zhu +1

3D Gaussian Splatting has exhibited remarkable capabilities in 3D scene reconstruction. However, reconstructing high-quality 3D scenes from motion-blurred images caused by camera m…

cs.CV2025

CoreEditor: Correspondence-constrained Diffusion for Consistent 3D Editing

Zhe Zhu, Honghua Chen, Peng Li +1

Text-driven 3D editing seeks to modify 3D scenes according to textual descriptions, and most existing approaches tackle this by adapting pre-trained 2D image editors to multi-view…

cs.CV2025

BridgeShape: Latent Diffusion Schrödinger Bridge for 3D Shape Completion

Dequan Kong, Honghua Chen, Zhe Zhu +1

Existing diffusion-based 3D shape completion methods typically use a conditional paradigm, injecting incomplete shape information into the denoising network via deep feature intera…

cs.CV2025

PointSFDA: Source-free Domain Adaptation for Point Cloud Completion

Xing He, Zhe Zhu, Liangliang Nan +3

Conventional methods for point cloud completion, typically trained on synthetic datasets, face significant challenges when applied to out-of-distribution real-world scans. In this…