3 citations · 4 across the 29 of their papers we have counts for
25 papers · 1 filter
DPA: Decoupling Product-Agnostic Anomaly Representations for Zero-shot Anomaly Generation
Hang Yao, Yansheng Fu, Ming Liu +4
Industrial anomaly detection benefits from anomaly samples, yet newly deployed products typically provide only normal images, making anomaly samples difficult to collect. Zero-shot…
Generalize LMMs to Versatile Visual Modalities via Fabricated Modality Synthesis
Shihao Yuan, Yuanze Li, Ruyi Zhang +2
Despite the advancements of Large Multimodal Models (LMMs) in RGB vision, their ability to generalize to unseen visual modalities remains a largely unexplored challenge. We argue t…
OPERA: An Agent for Image Restoration with End-to-End Joint Planning-Execution Optimization
Feng Zhu, Shuyang Xie, Yihan Zeng +2
Real-world image restoration is challenging due to complex and interacting mixed degradations. Recent agent-based approaches address this problem by composing multiple task-specifi…
ScrollScape: Unlocking 32K Image Generation With Video Diffusion Priors
Haodong Yu, Yabo Zhang, Donglin Di +2
While diffusion models excel at generating images with conventional dimensions, pushing them to synthesize ultra-high-resolution imagery at extreme aspect ratios (EAR) often trigge…
Cluster-Wise Spatio-Temporal Masking for Efficient Video-Language Pretraining
Weijun Zhuang, Yuqing Huang, Weikang Meng +5
Large-scale video-language pretraining enables strong generalization across multimodal tasks but often incurs prohibitive computational costs. Although recent advances in masked vi…
All-in-One Video Restoration under Smoothly Evolving Unknown Weather Degradations
Wenrui Li, Hongtao Chen, Yao Xiao +4
All-in-one image restoration aims to recover clean images from diverse unknown degradations using a single model. But extending this task to videos faces unique challenges. Existin…