activity
20212024
most citedLocal and Global Point Cloud Reconstruction for 3D Hand Pose Estimation

5 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

NL2Contact: Natural Language Guided 3D Hand-Object Contact Modeling with Diffusion Model

Zhongqun Zhang, Hengfei Wang, Ziwei Yu +3

Modeling the physical contacts between the hand and object is standard for refining inaccurate hand poses and generating novel human grasp in 3D hand-object reconstruction. However…

cs.CV2023★ 2 cited

Overcoming the Trade-off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction

Ziwei Yu, Chen Li, Linlin Yang +4

Direct mesh fitting for 3D hand shape reconstruction is highly accurate. However, the reconstructed meshes are prone to artifacts and do not appear as plausible hand shapes. Conver…

cs.CV2023★ 2 cited

Enhancing Video Super-Resolution via Implicit Resampling-based Alignment

Kai Xu, Ziwei Yu, Xin Wang +2

In video super-resolution, it is common to use a frame-wise alignment to support the propagation of information over time. The role of alignment is well-studied for low-level enhan…

cs.CV2022★ 3 cited

UV-Based 3D Hand-Object Reconstruction with Grasp Optimization

Ziwei Yu, Linlin Yang, You Xie +2

We propose a novel framework for 3D hand shape reconstruction and hand-object grasp optimization from a single RGB image. The representation of hand-object contact regions is criti…

cs.CV2021★ 5 cited

Local and Global Point Cloud Reconstruction for 3D Hand Pose Estimation

Ziwei Yu, Linlin Yang, Shicheng Chen +1

This paper addresses the 3D point cloud reconstruction and 3D pose estimation of the human hand from a single RGB image. To that end, we present a novel pipeline for local and glob…