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87719371 (github.io)
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title
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updated
2026-03-01 10:23:10
raw text
Siming Fan 樊思明 商汤全职员工 个人陈述 动漫和单机游戏是我最大的爱好。最喜爱的番剧是 樱花庄的宠物女孩 ，为此制作了个 MAD ，这部番激励了我成为程序员。我目前(2024.8-now)对AIGC/LLM加速漫画/动画/游戏创作的方向最感兴趣，欢迎加我微信一起交流学习!(不在看工作机会) 教育信息 信息与计算科学学士(计算机科学方向) 数学科学学院 电子科技大学(UESTC) 本科08.2017~07.2021 Link 主页(Chinese) Google Scholar Github Social Email Wechat QQ Bilibili CNBlog Luogu OJ Hosted on GitHub Pages — Theme by orderedlist Open-source Projects 2024 MultiModal Frame Retrieval in video and Editting VideoLLM检索视频帧 Demo result using our pipeline and GPT4o API 大规模(18.6M instances)合成姿态文本标注 该数据集旨在解决姿态描述标注中人工标注过于昂贵(￥0.03/字)和GPT4o标注准确率过低(准确率人工:GPT:ours=95%:70%:95%)的问题, 分为(a)单帧姿态描述/(b)双帧姿态变化量描述两个版本, 用于训练文本定位视频帧模型和图像编辑模型。 上一个数据集← 下一个数据集→ (a)单帧姿态+Tracking可视化, PoseScript 的图像版本,图上的文本为当前bbox人物的姿态描述，双击放大以查看详细标注，包括文本,MPJPE(关键点平均误差)和Y轴朝向(±180度为正面)。 (b)双帧姿态描述变化量+第二帧姿态描述可视化(未Tracking版), PoseFix 的图像版本, 鼠标悬停以暂停。 细粒度(动作/姿态)文本描述定位视频帧大模型 (鼠标悬停以放大) 2021-2023 Rendering & Animation 3D Animation with Secondary...
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