April 23, 2024, 4:47 a.m. | Zhicheng Ding, Panfeng Li, Qikai Yang, Xinyu Shen, Siyang Li, Qingtian Gong

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.13880v1 Announce Type: new
Abstract: This paper presents a novel contribution to the field of regional style transfer. Existing methods often suffer from the drawback of applying style homogeneously across the entire image, leading to stylistic inconsistencies or foreground object twisted when applied to image with foreground elements such as person figures. To address this limitation, we propose a new approach that leverages a segmentation network to precisely isolate foreground objects within the input image. Subsequently, style transfer is applied …

abstract arxiv color cs.cv image novel object paper person regional style style transfer transfer type

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