郭新晨 - 博客园

2025年4月30日

PASTE, INPAINT AND HARMONIZE VIA DENOISING: SUBJECT-DRIVEN IMAGE EDITING WITH PRE-TRAINED DIFFUSION MODEL

摘要： https://arxiv.org/pdf/2306.07596 阅读全文

posted @ 2025-04-30 19:50 郭新晨阅读(22) 评论(0) 推荐(0)

DreamEdit: Subject-driven Image Editing

摘要： https://dreameditbenchteam.github.io/ 阅读全文

posted @ 2025-04-30 19:48 郭新晨阅读(40) 评论(0) 推荐(0)

Official implementations for paper: Customizable Image Synthesis with Multiple Subjects

摘要： https://github.com/ali-vilab/Cones-V2 阅读全文

posted @ 2025-04-30 19:47 郭新晨阅读(17) 评论(0) 推荐(0)

Cones 2: Customizable Image Synthesis with Multiple Subjects

摘要： https://cones-page.github.io/ 阅读全文

posted @ 2025-04-30 19:46 郭新晨阅读(20) 评论(0) 推荐(0)

UNO: A Universal Customization Method for Both Single and Multi-Subject Conditioning

摘要： https://github.com/bytedance/uno 阅读全文

posted @ 2025-04-30 19:45 郭新晨阅读(21) 评论(0) 推荐(0)

DynASyn: Multi-Subject Personalization Enabling Dynamic Action Synthesis

摘要： https://arxiv.org/abs/2503.17728 阅读全文

posted @ 2025-04-30 19:45 郭新晨阅读(15) 评论(0) 推荐(0)

探索多主体自定义图像合成新境界：Cones 2 深度解析与推荐

摘要： https://blog.csdn.net/gitblog_00214/article/details/141315562 阅读全文

posted @ 2025-04-30 19:44 郭新晨阅读(16) 评论(0) 推荐(0)

CVPR2024 | 图片生成与编辑相关的AIGC文章汇总

摘要： https://zhuanlan.zhihu.com/p/687467814 阅读全文

posted @ 2025-04-30 19:43 郭新晨阅读(13) 评论(0) 推荐(0)

MS-DIFFUSION: MULTI-SUBJECT ZERO-SHOT IMAGE PERSONALIZATION WITH LAYOUT GUIDANCE

摘要： https://arxiv.org/pdf/2406.07209 阅读全文

posted @ 2025-04-30 19:41 郭新晨阅读(40) 评论(0) 推荐(0)

Deep Unfolding Multi-modal Image Fusion Network via Attribution Analysis

摘要： https://arxiv.org/pdf/2502.01467 阅读全文

posted @ 2025-04-30 19:41 郭新晨阅读(67) 评论(0) 推荐(0)