11 citations · 19 across the 8 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…
Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion
Peng Sun, Wenhu Zhang, Huanyu Wang +2
RGB-D salient object detection (SOD) is usually formulated as a problem of classification or regression over two modalities, i.e., RGB and depth. Hence, effective RGBD feature mode…
VersatileGait: A Large-Scale Synthetic Gait Dataset with Fine-GrainedAttributes and Complicated Scenarios
Huanzhang Dou, Wenhu Zhang, Pengyi Zhang +6
With the motivation of practical gait recognition applications, we propose to automatically create a large-scale synthetic gait dataset (called VersatileGait) by a game engine, whi…