140 citations · 156 across the 7 of their papers we have counts for
7 papers
ManiDext: Hand-Object Manipulation Synthesis via Continuous Correspondence Embeddings and Residual-Guided Diffusion
Jiajun Zhang, Yuxiang Zhang, Liang An +4
Dynamic and dexterous manipulation of objects presents a complex challenge, requiring the synchronization of hand motions with the trajectories of objects to achieve seamless and p…
HHMR: Holistic Hand Mesh Recovery by Enhancing the Multimodal Controllability of Graph Diffusion Models
Mengcheng Li, Hongwen Zhang, Yuxiang Zhang +3
Recent years have witnessed a trend of the deep integration of the generation and reconstruction paradigms. In this paper, we extend the ability of controllable generative models f…
OmniHands: Towards Robust 4D Hand Mesh Recovery via A Versatile Transformer
Dixuan Lin, Yuxiang Zhang, Mengcheng Li +5
In this paper, we introduce OmniHands, a universal approach to recovering interactive hand meshes and their relative movement from monocular or multi-view inputs. Our approach addr…
Learning Explicit Contact for Implicit Reconstruction of Hand-held Objects from Monocular Images
Junxing Hu, Hongwen Zhang, Zerui Chen +4
Reconstructing hand-held objects from monocular RGB images is an appealing yet challenging task. In this task, contacts between hands and objects provide important cues for recover…
PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Images
Hongwen Zhang, Yating Tian, Yuxiang Zhang +4
We present PyMAF-X, a regression-based approach to recovering parametric full-body models from monocular images. This task is very challenging since minor parametric deviation may…
Interacting Attention Graph for Single Image Two-Hand Reconstruction
Mengcheng Li, Liang An, Hongwen Zhang +4
Graph convolutional network (GCN) has achieved great success in single hand reconstruction task, while interacting two-hand reconstruction by GCN remains unexplored. In this paper,…
Lightweight Multi-person Total Motion Capture Using Sparse Multi-view Cameras
Yuxiang Zhang, Zhe Li, Liang An +3
Multi-person total motion capture is extremely challenging when it comes to handle severe occlusions, different reconstruction granularities from body to face and hands, drasticall…