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cs.CV2026

PRMU: A Corpus-Free Benchmark for Person-Centric Knowledge Unlearning in Multimodal Large Language Models

Huafeng Chen, Yueming Lyu, Ziyuan Chen +4

Multimodal large language models (MLLMs) have demonstrated remarkable capabilities in storing and recalling rich person-related knowledge, raising increasing concerns about reliabl…

cs.CV2026

Is There Really a Camouflaged Object? Towards Realistic Camouflaged Object Detection

Huafeng Chen, Yueming Lyu, Chenyang Si +3

Camouflaged object detection (COD) aims to segment objects that are visually concealed in their surroundings and has attracted increasing attention in recent years. However, most e…

cs.CV2026

One-to-More: High-Fidelity Training-Free Anomaly Generation with Attention Control

Haoxiang Rao, Zhao Wang, Chenyang Si +4

Industrial anomaly detection (AD) is characterized by an abundance of normal images but a scarcity of anomalous ones. Although numerous few-shot anomaly synthesis methods have been…

cs.CV2026

NOVA: Sparse Control, Dense Synthesis for Pair-Free Video Editing

Tianlin Pan, Jiayi Dai, Chenpu Yuan +7

Recent video editing models have achieved impressive results, but most still require large-scale paired datasets. Collecting such naturally aligned pairs at scale remains highly ch…

cs.CV2026

StableWorld: Towards Stable and Consistent Long Interactive Video Generation

Ying Yang, Zhengyao Lv, Tianlin Pan +6

In this paper, we explore the overlooked challenge of stability and temporal consistency in interactive video generation, which synthesizes dynamic and controllable video worlds th…

cs.CV2025

PosterCopilot: Toward Layout Reasoning and Controllable Editing for Professional Graphic Design

Jiazhe Wei, Ken Li, Tianyu Lao +4

Graphic design forms the cornerstone of modern visual communication, serving as a vital medium for promoting cultural and commercial events. Recent advances have explored automatin…