most citedVersatileGait: A Large-Scale Synthetic Gait Dataset with Fine-GrainedAttributes and Complicated Scenarios

11 citations · 19 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

IB-Flow: Information Bottleneck-Guided CFG Distillation for Few-Step Text-to-Image Generation

Yiting Wang, Jingyi Zhang, Wenhu Zhang +4

While large-scale text-to-image generative models have achieved unprecedented visual performance, their inherent reliance on multi-step iterative solvers incurs severe inference la…

cs.CV2026

CoDMD: Copula-aware Distribution Matching Distillation for Fast Video Generation

Wenhu Zhang, Kun Cheng, Changyuan Wang +7

Few-step distillation for video diffusion models has attracted significant attention, driven by the urgent demand for efficient deployment in real-world scenarios. However, Distrib…

cs.GR2026

JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation

Lin Song, Wenbo Li, Guoqing Ma +16

We present JoyAI-Image, a unified multimodal foundation model for visual understanding, text-to-image generation, and instruction-guided image editing. JoyAI-Image couples a spatia…

cs.CV2026

SpatialEdit: Benchmarking Fine-Grained Image Spatial Editing

Yicheng Xiao, Wenhu Zhang, Lin Song +10

Image spatial editing performs geometry-driven transformations, allowing precise control over object layout and camera viewpoints. Current models are insufficient for fine-grained…

cs.MM2026

Visual Set Program Synthesizer

Zehua Cheng, Wei Dai, Wenhu Zhang +2

A user pointing their phone at a supermarket shelf and asking "Which soda has the least sugar?" poses a difficult challenge for current visual Al assistants. Such queries require n…

cs.CV2021

VersatileGait: A Large-Scale Synthetic Gait Dataset Towards in-the-Wild Simulation

Pengyi Zhang, Huanzhang Dou, Wenhu Zhang +4

Gait recognition has a rapid development in recent years. However, gait recognition in the wild is not well explored yet. An obvious reason could be ascribed to the lack of diverse…