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HairFIT: Pose-Invariant Hairstyle Transfer via Flow-based Hair Alignment and Semantic-Region-Aware Inpainting. (arXiv:2206.08585v1 [cs.CV])
June 20, 2022, 1:13 a.m. | Chaeyeon Chung, Taewoo Kim, Hyelin Nam, Seunghwan Choi, Gyojung Gu, Sunghyun Park, Jaegul Choo
cs.CV updates on arXiv.org arxiv.org
Hairstyle transfer is the task of modifying a source hairstyle to a target
one. Although recent hairstyle transfer models can reflect the delicate
features of hairstyles, they still have two major limitations. First, the
existing methods fail to transfer hairstyles when a source and a target image
have different poses (e.g., viewing direction or face size), which is prevalent
in the real world. Also, the previous models generate unrealistic images when
there is a non-trivial amount of regions in the …
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