3 papers indexed
Wenzhuang Wang, Yifan Zhao, Mingcan Ma, Yunlong Che, Haoran Chen, Ming Liu, et al.
Camouflage image generation (CIG) focuses on generating visually concealed objects that seamlessly blend into their backgrounds. Existing methods typically follow either background-guided paradigms that adapt object appearance via style transfer, or foreground-guided strategies t…
Shihao Yuan, Yuanze Li, Ruyi Zhang, Ming Liu, Wangmeng Zuo
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 that different visual modalities are merely distinct samplings of the same physical world. Therefore,…
Xiaoyu Liu, Huan Wang, Fan Li, Zhixin Wang, Jiaqi Xu, Ming Liu, et al.
Controllable image generation methods, such as ControlNet, have demonstrated a remarkable capacity to introduce visual conditions(e.g., depth maps) to guide image generation. However, these methods often struggle with complex multi-instance scenes, frequently leading to attribute…