April 10, 2024, 4:43 a.m. | Vidit Goel, Elia Peruzzo, Yifan Jiang, Dejia Xu, Xingqian Xu, Nicu Sebe, Trevor Darrell, Zhangyang Wang, Humphrey Shi

cs.LG updates on arXiv.org arxiv.org

arXiv:2303.17546v3 Announce Type: replace-cross
Abstract: Generative image editing has recently witnessed extremely fast-paced growth. Some works use high-level conditioning such as text, while others use low-level conditioning. Nevertheless, most of them lack fine-grained control over the properties of the different objects present in the image, i.e. object-level image editing. In this work, we tackle the task by perceiving the images as an amalgamation of various objects and aim to control the properties of each object in a fine-grained manner. Out …

arxiv cs.ai cs.cv cs.lg diffusion editor image multimodal object type

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