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Direct May Not Be the Best: An Incremental Evolution View of Pose Generation
April 15, 2024, 4:45 a.m. | Yuelong Li, Tengfei Xiao, Lei Geng, Jianming Wang
cs.CV updates on arXiv.org arxiv.org
Abstract: Pose diversity is an inherent representative characteristic of 2D images. Due to the 3D to 2D projection mechanism, there is evident content discrepancy among distinct pose images. This is the main obstacle bothering pose transformation related researches. To deal with this challenge, we propose a fine-grained incremental evolution centered pose generation framework, rather than traditional direct one-to-one in a rush. Since proposed approach actually bypasses the theoretical difficulty of directly modeling dramatic non-linear variation, the …
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