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20182026
most citedDensity-aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement

29 citations · 149 across the 44 of their papers we have counts for

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Showing 2025Show all

18 papers · 1 filter

cs.CV2025

UniLayDiff: A Unified Diffusion Transformer for Content-Aware Layout Generation

Zeyang Liu, Le Wang, Sanping Zhou +4

Content-aware layout generation is a critical task in graphic design automation, focused on creating visually appealing arrangements of elements that seamlessly blend with a given…

cs.RO2025

DynaRend: Learning 3D Dynamics via Masked Future Rendering for Robotic Manipulation

Jingyi Tian, Le Wang, Sanping Zhou +3

Learning generalizable robotic manipulation policies remains a key challenge due to the scarcity of diverse real-world training data. While recent approaches have attempted to miti…

cs.CV2025

SAMPO:Scale-wise Autoregression with Motion PrOmpt for generative world models

Sen Wang, Jingyi Tian, Le Wang +7

World models allow agents to simulate the consequences of actions in imagined environments for planning, control, and long-horizon decision-making. However, existing autoregressive…

cs.CV2025

Action Hints: Semantic Typicality and Context Uniqueness for Generalizable Skeleton-based Video Anomaly Detection

Canhui Tang, Sanping Zhou, Haoyue Shi +1

Zero-Shot Video Anomaly Detection (ZS-VAD) requires temporally localizing anomalies without target domain training data, which is a crucial task due to various practical concerns,…

cs.CV2025

Embracing Aleatoric Uncertainty: Generating Diverse 3D Human Motion

Zheng Qin, Yabing Wang, Minghui Yang +3

Generating 3D human motions from text is a challenging yet valuable task. The key aspects of this task are ensuring text-motion consistency and achieving generation diversity. Alth…

cs.CV2025

Enhancing Mamba Decoder with Bidirectional Interaction in Multi-Task Dense Prediction

Mang Cao, Sanping Zhou, Yizhe Li +3

Sufficient cross-task interaction is crucial for success in multi-task dense prediction. However, sufficient interaction often results in high computational complexity, forcing exi…