{"title":"SegAnimeChara:分割由AI生成的动画角色","authors":"A. Tseng, Wen-Fan Wang, Bing-Yu Chen","doi":"10.1145/3588028.3603685","DOIUrl":null,"url":null,"abstract":"This work introduces SegAnimeChara, a novel system of transforming AI-generated anime images into game characters while retaining unique features. Using volume-based body pose segmentation, SegAnimeChara can efficiently, zero-shot, segment body parts from generative images based on OpenPose human skeleton. Furthermore, this system integrates a semantic segmentation pipeline based on the text prompts of the existing Text2Image workflow. The system conserves the game character’s unique outfit and reduces the redundant duplicate text prompts for semantic segmentation.","PeriodicalId":113397,"journal":{"name":"ACM SIGGRAPH 2023 Posters","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SegAnimeChara: Segmenting Anime Characters Generated by AI\",\"authors\":\"A. Tseng, Wen-Fan Wang, Bing-Yu Chen\",\"doi\":\"10.1145/3588028.3603685\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work introduces SegAnimeChara, a novel system of transforming AI-generated anime images into game characters while retaining unique features. Using volume-based body pose segmentation, SegAnimeChara can efficiently, zero-shot, segment body parts from generative images based on OpenPose human skeleton. Furthermore, this system integrates a semantic segmentation pipeline based on the text prompts of the existing Text2Image workflow. The system conserves the game character’s unique outfit and reduces the redundant duplicate text prompts for semantic segmentation.\",\"PeriodicalId\":113397,\"journal\":{\"name\":\"ACM SIGGRAPH 2023 Posters\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM SIGGRAPH 2023 Posters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3588028.3603685\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGGRAPH 2023 Posters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3588028.3603685","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SegAnimeChara: Segmenting Anime Characters Generated by AI
This work introduces SegAnimeChara, a novel system of transforming AI-generated anime images into game characters while retaining unique features. Using volume-based body pose segmentation, SegAnimeChara can efficiently, zero-shot, segment body parts from generative images based on OpenPose human skeleton. Furthermore, this system integrates a semantic segmentation pipeline based on the text prompts of the existing Text2Image workflow. The system conserves the game character’s unique outfit and reduces the redundant duplicate text prompts for semantic segmentation.
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