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Paper Detail

Paper IDIMA-ELI-1.5
Paper Title SPMPG: Robust Person Image Generation with Semantic Parsing Map
Authors Yuelong Li, Tongshun Zhang, Jianming Wang, Tiangong University, China
SessionIMA-ELI-1: Imaging and Media Applications + Electronic Imaging
LocationArea F
Session Time:Monday, 20 September, 15:30 - 17:00
Presentation Time:Monday, 20 September, 15:30 - 17:00
Presentation Poster
Topic Imaging and Media Applications: Image and video processing over networks
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Person image generation is an interesting research topic that attracts many attention. In this paper, a robust body semantic parsing map guided automatic people pose synthesizing approach is proposed. Compared with commonly used skeleton based generation, our approach takes full advantage of available human body information, and hence successfully achieves improved performance. In the proposed method, extensive attention and multiscale discrimination mechanisms are enrolled to further advance generation performance. Verification experiments are extensively conducted on the Market1501 and Deepfashion dataset to systematically evaluate the effectiveness of our approach.