A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations
机构 * School of Computing(计算学院) ; Data Science, University of Hong Kong(数据科学,香港大学)
专题命中 扩散模型 :diffusion(abstract)
视觉与机器人
图像生成、文生图、图像编辑、扩散模型和可控生成。
机构 * School of Computing(计算学院) ; Data Science, University of Hong Kong(数据科学,香港大学)
专题命中 扩散模型 :diffusion(abstract)
机构 * Carnegie Mellon University(卡内基梅隆大学) ; NVIDIA(英伟达) ; National Taiwan University(国立台湾大学)
专题命中 扩散模型 :diffusion(abstract)
Comments Project page: https://3d-flowmatch-actor.github.io/
机构 * Harvard University(哈佛大学) ; University of Texas Austin(德克萨斯大学奥斯汀分校)
专题命中 扩散模型 :diffusion(abstract)
专题命中 扩散模型 :diffusion(abstract)
Comments 37 pages, 2 figures
Journal ref npj Quantum Information 11, 141 (2025)
机构 * Beijing University of Posts and Telecommunications(北京邮电大学) ; Kuaishou Technology(快手科技)
专题命中 可控生成 :text-to-image(abstract);diffusion(abstract);image synthesis(abstract);分类 cs.CV
Comments This paper is accepted by ICCV 2025
机构 * OpenAI
专题命中 可控生成 :diffusion(abstract);分类 cs.CV
Comments 15 pages, 9 figures
专题命中 可控生成 :diffusion(abstract)
机构 * MoE Key Lab of Artificial Intelligence, AI Institute Shanghai Jiao Tong University Shanghai China(人工智能联合实验室,人工智能研究院,上海交通大学)
专题命中 个性化与一致性 :diffusion(abstract);分类 cs.CV
Comments ACM MM 2025; Code is released at https://github.com/VISION-SJTU/AnchorSync
机构 * Huazhong University of Science and Technology(华中科技大学) ; Horizon Robotics ; Department of Computer Science and Technology, Tsinghua University(清华大学计算机科学与技术系)
专题命中 图像生成评测 :image generation(abstract);分类 cs.CV
机构 * Department of Computer Science, Vanderbilt University(计算机科学系,范德比尔特大学) ; Weill Cornell Medicine(韦尔·科恩医学中心) ; Department of Electrical and Computer Engineering, Vanderbilt University(电气与计算机工程系,范德比尔特大学) ; Department of Biostatistics, Vanderbilt University Medical Center(生物统计学系,范德比尔特大学医学中心) ; NVIDIA
专题命中 效率与蒸馏 :image generation(abstract);分类 cs.CV
专题命中 其他图像生成 :image generation(abstract)
Comments The main content has been published in 2024 22nd ICOCN (10.1109/ICOCN63276.2024.10648561), and this article provides more detailed information (see the supplementary files)