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cs.CV2026
Aerial-R1: Reinforcing Aerial Reasoning and Segmentation in MLLMs
Jisheng Dang, Huaiyuan Peng, Yixuan Wang +3
While Multimodal Large Language Models (MLLMs) have revolutionized general visual perception, existing methods suffer from severe hallucination in the aerial domain, where extreme…
cs.CV2025
ACE: Concept Editing in Diffusion Models without Performance Degradation
Ruipeng Wang, Junfeng Fang, Jiaqi Li +4
Diffusion-based text-to-image models have demonstrated remarkable capabilities in generating realistic images, but they raise societal and ethical concerns, such as the creation of…