April 2, 2024, 7:49 p.m. | Nannan Li, Qing Liu, Krishna Kumar Singh, Yilin Wang, Jianming Zhang, Bryan A. Plummer, Zhe Lin

cs.CV updates on arXiv.org arxiv.org

arXiv:2312.14985v2 Announce Type: replace
Abstract: Human image editing includes tasks like changing a person's pose, their clothing, or editing the image according to a text prompt. However, prior work often tackles these tasks separately, overlooking the benefit of mutual reinforcement from learning them jointly. In this paper, we propose UniHuman, a unified model that addresses multiple facets of human image editing in real-world settings. To enhance the model's generation quality and generalization capacity, we leverage guidance from human visual encoders …

arxiv cs.cv editing human human images images type unified model

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