[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-72753":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":9,"language":9,"languages":9,"totalLinesOfCode":9,"stars":10,"forks":11,"watchers":12,"openIssues":13,"contributorsCount":14,"subscribersCount":14,"size":14,"stars1d":15,"stars7d":16,"stars30d":16,"stars90d":14,"forks30d":14,"starsTrendScore":16,"compositeScore":17,"rankGlobal":9,"rankLanguage":9,"license":18,"archived":19,"fork":19,"defaultBranch":20,"hasWiki":21,"hasPages":19,"topics":22,"createdAt":9,"pushedAt":9,"updatedAt":23,"readmeContent":24,"aiSummary":25,"trendingCount":14,"starSnapshotCount":14,"syncStatus":15,"lastSyncTime":26,"discoverSource":27},72753,"AnimateAnyone","HumanAIGC\u002FAnimateAnyone","HumanAIGC","Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation",null,14765,1007,645,76,0,2,6,44.01,"Apache License 2.0",false,"main",true,[],"2026-06-12 02:03:07","# AnimateAnyone\nAnimate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation\n\n[Li Hu](https:\u002F\u002Fscholar.google.com\u002Fcitations?view_op=list_works&hl=zh-CN&user=Arz3iGUAAAAJ&gmla=AJsN-F72u4R_vwVl2Jc0Sy_qIYuSwExx8ilpfrd-w5Yfi5FYFP_WhbJtHbAK_c5w-3KNBgTRjWiTvEFLtJSV5ryd1JuNVQdMVDMuSJS5dfn7NWbZQQpGGyyxlrfoq6cv6S_23QTSUWWY), \n[Xin Gao](https:\u002F\u002Fscholar.google.com\u002Fcitations?user=cze1sXQAAAAJ&hl=en), \n[Peng Zhang](https:\u002F\u002Fscholar.google.com\u002Fcitations?user=QTgxKmkAAAAJ&hl=zh-CN),\n[Ke Sun](https:\u002F\u002Fdblp.org\u002Fpid\u002F69\u002F476-9.html), \n[Bang Zhang](https:\u002F\u002Fdblp.org\u002Fpid\u002F11\u002F4046.html),\n[Liefeng Bo](https:\u002F\u002Fscholar.google.com\u002Fcitations?user=FJwtMf0AAAAJ&hl=zh-CN)\n\n\u003Ca href='https:\u002F\u002Fhumanaigc.github.io\u002Fanimate-anyone\u002F'>\u003Cimg src='https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FProject-Page-Green'>\u003C\u002Fa> \u003Ca href='https:\u002F\u002Farxiv.org\u002Fpdf\u002F2311.17117.pdf'>\u003Cimg src='https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FPaper-Arxiv-red'>\u003C\u002Fa> [![YouTube](https:\u002F\u002Fbadges.aleen42.com\u002Fsrc\u002Fyoutube.svg)](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=8PCn5hLKNu4)\n\n\n📢 If you're interested in the Animate Anyone series, feel free to check out our open-source work: **[Wan-Animate](https:\u002F\u002Fhumanaigc.github.io\u002Fwan-animate\u002F)**\n\n\n![Teaser Image](docs\u002Fvideo_t1.png \"Teaser\")\n\n\n## Citation\t\n\n```\n@article{hu2023animateanyone,\n  title={Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation},\n  author={Li Hu and Xin Gao and Peng Zhang and Ke Sun and Bang Zhang and Liefeng Bo},\n  journal={arXiv preprint arXiv:2311.17117},\n  website={https:\u002F\u002Fhumanaigc.github.io\u002Fanimate-anyone\u002F},\n  year={2023}\n}\n```\n","AnimateAnyone 是一个用于角色动画的图像到视频合成项目，旨在实现一致且可控的角色动画生成。其核心功能包括将静态图像转化为流畅自然的动作视频，并支持用户自定义控制动画效果，使得生成的视频内容更加符合预期。该项目采用了先进的深度学习技术来确保输出视频的质量与原始图像的一致性。适用于游戏开发、影视制作以及虚拟人物创建等需要高质量角色动画但又缺乏专业动画师资源的场景。","2026-06-11 03:43:29","high_star"]