视觉与机器人

图像生成

图像生成、文生图、图像编辑、扩散模型和可控生成。

2025-07-31 至 2025-07-31 共收录 5 篇信号源：cs.CV, cs.GR, cs.MM

1. 文生图 5 篇

2507.21391 2025-07-31 cs.CV cs.AI cs.CL 88%

Multimodal LLMs as Customized Reward Models for Text-to-Image Generation

Shijie Zhou, Ruiyi Zhang, Huaisheng Zhu, Branislav Kveton, Yufan Zhou, Jiuxiang Gu, Jian Chen, Changyou Chen

机构 * University at Buffalo（布法罗大学）； Adobe Research（Adobe研究）； Pennsylvania State University（宾夕法尼亚州立大学）

专题命中文生图：image generation(title,abstract)；text-to-image(title,abstract)；分类 cs.CV

Comments Accepted at ICCV 2025. Code available at https://github.com/sjz5202/LLaVA-Reward

2507.22100 2025-07-31 cs.CV 83%

Trade-offs in Image Generation: How Do Different Dimensions Interact?

Sicheng Zhang, Binzhu Xie, Zhonghao Yan, Yuli Zhang, Donghao Zhou, Xiaofei Chen, Shi Qiu, Jiaqi Liu, Guoyang Xie, Zhichao Lu

机构 * Khalifa University（卡利法大学）； The Chinese University of Hong Kong（香港中文大学）； Queen Mary University of London（伦敦大学玛丽女王学院）； Xi’an Jiaotong-Liverpool University（西安交通大学利物浦大学）； City University of Hong Kong（香港城市大学）

专题命中文生图：image generation(title,abstract)；text-to-image(abstract)；分类 cs.CV

Comments Accepted in ICCV 2025, Codebase: https://github.com/fesvhtr/TRIG

2507.22076 2025-07-31 cs.LG 82%

Test-time Prompt Refinement for Text-to-Image Models

Mohammad Abdul Hafeez Khan, Yash Jain, Siddhartha Bhattacharyya, Vibhav Vineet

机构 * Florida Institute of Technology（佛罗里达理工学院）； Microsoft Research（微软研究院）

专题命中文生图：text-to-image(title,abstract)；image generation(abstract)

Comments Accepted to ICCV 2025, MARS2 Workshop. Total 14 pages, 12 figures and 3 tables

2507.22617 2025-07-31 cs.CR cs.CV 70%

Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful Illusions

Yiting Qu, Ziqing Yang, Yihan Ma, Michael Backes, Savvas Zannettou, Yang Zhang

机构 * CISPA Helmholtz Center for Information Security（CISPA 欧洲信息安全研究中心）； TU Delft（代尔夫特理工大学）

专题命中文生图：text-to-image(abstract)；diffusion(abstract)；分类 cs.CV

Comments Accepted at ICCV 2025

2507.22499 2025-07-31 cs.LG cs.AI 67%

LoReUn: Data Itself Implicitly Provides Cues to Improve Machine Unlearning

Xiang Li, Qianli Shen, Haonan Wang, Kenji Kawaguchi

机构 * School of Computing（计算学院）； National University of Singapore（新加坡国立大学）

专题命中文生图：text-to-image(abstract)；diffusion(abstract)

Comments 23 pages