activity
20162026
most citedPerson Re-identification by Contour Sketch under Moderate Clothing Change

287 citations · 1k across the 22 of their papers we have counts for

collaborators

25 papers

cs.CV2026

DrawingsDreamer: A Unified Multi-View Engineering Drawings Generation Model

Shurui Liu, Weide Chen, Changwang Yi +1

Scalable Vector Graphics (SVG) are essential for modern industrial Computer-Aided Design (CAD). However, existing autoregressive SVG generation models are predominantly tailored fo…

cs.CV2026

PWM-ArtGen: Part World Model for Articulated Object Generation

Wentao Zheng, Ancong Wu

The key challenge in articulated 3D object generation from a single image is accurately predicting the underlying kinematic structure. Existing methods either infer kinematic param…

cs.CV2026

HiDiGen: Hierarchical Diffusion for B-Rep Generation with Explicit Topological Constraints

Shurui Liu, Weide Chen, Ancong Wu

Boundary representation (B-rep) is the standard 3D modeling format in CAD systems, encoding both geometric primitives and topological connectivity. Despite its prevalence, deep gen…

cs.RO2026

DexGrasp-Zero: A Morphology-Aligned Policy for Zero-Shot Cross-Embodiment Dexterous Grasping

Yuliang Wu, Yanhan Lin, WengKit Lao +4

To meet the demands of increasingly diverse dexterous hand hardware, it is crucial to develop a policy that enables zero-shot cross-embodiment grasping without redundant re-learnin…

cs.CV2026

Pano3DComposer: Feed-Forward Compositional 3D Scene Generation from Single Panoramic Image

Zidian Qiu, Ancong Wu

Current compositional image-to-3D scene generation approaches construct 3D scenes by time-consuming iterative layout optimization or inflexible joint object-layout generation. More…

cs.CV2025★ 4 cited

Progressive Human Motion Generation Based on Text and Few Motion Frames

Ling-An Zeng, Gaojie Wu, Ancong Wu +2

Although existing text-to-motion (T2M) methods can produce realistic human motion from text description, it is still difficult to align the generated motion with the desired postur…