图像生成

T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation

Chieh-Yun Chen, Min Shi, Gong Zhang, Humphrey Shi

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

Comments ICCV 2025

Anyone Can Jailbreak: Prompt-Based Attacks on LLMs and T2Is

Ahmed B Mustafa, Zihan Ye, Yang Lu, Michael P Pound, Shreyank N Gowda

机构 * School of Computer Science, University of Nottingham（诺丁汉大学计算机科学学院） ； Department of Intelligent Science, Xi’an Jiaotong-Liverpool University（西安交通大学利物浦大学智能科学系） ； School of Informatics, Xiamen University（厦门大学信息学院） 纠错

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

APT: Improving Diffusion Models for High Resolution Image Generation with Adaptive Path Tracing

Sangmin Han, Jinho Jeong, Jinwoo Kim, Seon Joo Kim

机构 * Yonsei University（延世大学） 纠错

专题命中 扩散模型 ：image generation(title,abstract)；diffusion(title,abstract)；分类 cs.CV

GuidPaint: Class-Guided Image Inpainting with Diffusion Models

Qimin Wang, Xinda Liu, Guohua Geng

机构 * Northwest University（西北大学） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)；inpainting(title,abstract)；分类 cs.CV

MaXsive: High-Capacity and Robust Training-Free Generative Image Watermarking in Diffusion Models

Po-Yuan Mao, Cheng-Chang Tsai, Chun-Shien Lu

机构 * IIS, Academia Sinica（中国台湾“中央研究院”资讯研究所） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)；image synthesis(abstract)；分类 cs.MM

Latent Swap Joint Diffusion for 2D Long-Form Latent Generation

Yusheng Dai, Chenxi Wang, Chang Li, Chen Wang, Jun Du, Kewei Li, Ruoyu Wang, Jiefeng Ma, Lei Sun, Jianqing Gao

机构 * University of Science and Technology of China（中国科学技术大学） ； Tsinghua University（清华大学） ； iFlytek Research（iFlytek研究院） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)；分类 cs.CV、cs.MM

MapDiffusion: Generative Diffusion for Vectorized Online HD Map Construction and Uncertainty Estimation in Autonomous Driving

Thomas Monninger, Zihan Zhang, Zhipeng Mo, Md Zafar Anwar, Steffen Staab, Sihao Ding

机构 * Mercedes-Benz Research & Development North America（梅赛德斯-奔驰北美研发有限公司） ； University of Stuttgart（斯图加特大学） ； Institute for Artificial Intelligence（人工智能研究所） ； University of California, San Diego（加州大学圣地亚哥分校） ； University of Southampton（南安普顿大学） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)；分类 cs.CV

Comments Accepted for 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025)

HDR Environment Map Estimation with Latent Diffusion Models

Jack Hilliard, Adrian Hilton, Jean-Yves Guillemaut

机构 * University of Surrey（萨里大学） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)；分类 cs.CV

Enhancing Glass Defect Detection with Diffusion Models: Addressing Imbalanced Datasets in Manufacturing Quality Control

Sajjad Rezvani Boroujeni, Hossein Abedi, Tom Bush

机构 * Department of Applied Statistics & Operations Research (ASOR), Bowling Green State University, Bowling Green, OH, USA（应用统计与运筹学系，布罗金格林州立大学） ； Data Science Department, Actual Reality Technologies, OH, USA（数据科学系，Actual Reality Technologies） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)；分类 cs.CV

Comments 12 pages, 7 figures, published in Computer and Decision Making - An International Journal (COMDEM)

Motion Diffusion Autoencoders: Enabling Attribute Manipulation in Human Motion Demonstrated on Karate Techniques

Anthony Richardson, Felix Putze

机构 * Cognitive Systems Lab（认知系统实验室） ； University of Bremen, Germany（不来梅大学） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)；分类 cs.CV

Comments 9 pages, 7 figures

Magnetic flux transport via reconnection diffusion in different sonic regimes of interstellar MHD turbulence

C. N. Koshikumo, R. Santos-Lima, M. V. del Valle, E. M. de Gouveia Dal Pino, G. Guerrero, A. Lazarian

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 21 pages, 13 figures, accepted for publication in MNRAS

Existence analysis of a three-species memristor drift-diffusion system coupled to electric networks

Ansgar Jüngel, Tuan Tung Nguyen

专题命中 扩散模型 ：diffusion(title,abstract)

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training

Sodtavilan Odonchimed, Tatsuya Matsushima, Simon Holk, Yusuke Iwasawa, Yutaka Matsuo

专题命中 扩散模型 ：diffusion(title,abstract)

A Contrastive Diffusion-based Network (CDNet) for Time Series Classification

Yaoyu Zhang, Chi-Guhn Lee

机构 * Department of Mechanical and Industrial Engineering University of Toronto（机械与工业工程系多伦多大学） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 19 pages, conference

Adaptive Multimodal Protein Plug-and-Play with Diffusion-Based Priors

Amartya Banerjee, Xingyu Xu, Caroline Moosmüller, Harlin Lee

机构 * University of North Carolina at Chapel Hill（北卡罗来纳大学教堂山分校） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Comments Code: https://github.com/amartya21/Adam-PnP

Half-life of Youtube News Videos: Diffusion Dynamics and Predictive Factors

Anahit Sargsyan, Hridoy Sankar Dutta, Juergen Pfeffer

专题命中 扩散模型 ：diffusion(title,abstract)

Comments To be published in International Conference on Machine Learning, Optimization, and Data Science (LOD 2025)

Generating Adversarial Point Clouds Using Diffusion Model

Ruiyang Zhao, Bingbing Zhu, Chuxuan Tong, Xiaoyi Zhou, Xi Zheng

专题命中 扩散模型 ：diffusion(title,abstract)

Simulating realistic radio continuum survey maps with diffusion models

Tobias Vičánek Martínez, Henrik W. Edler, Marcus Brüggen

专题命中 扩散模型 ：diffusion(title,abstract)

Journal ref A&A 700, A18 (2025)

An exponential integrator multicontinuum homogenization method for fractional diffusion problem with multiscale coefficients

Yifei Gao, Yating Wang, Wing Tat Leung, Zhengya Yang

专题命中 扩散模型 ：diffusion(title,abstract)

Efficient and stable diffusion generated methods for ground state computation in Bose--Einstein condensates

Jing Guo, Yongyong Cai, Dong Wang

专题命中 扩散模型 ：diffusion(title)

X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again

Zigang Geng, Yibing Wang, Yeyao Ma, Chen Li, Yongming Rao, Shuyang Gu, Zhao Zhong, Qinglin Lu, Han Hu, Xiaosong Zhang, Linus, Di Wang, Jie Jiang

机构 * Tencent Hunyuan X（腾讯文言X） 纠错

专题命中 扩散模型 ：image generation(abstract)；diffusion(abstract)；分类 cs.CV

BANG: Dividing 3D Assets via Generative Exploded Dynamics

Longwen Zhang, Qixuan Zhang, Haoran Jiang, Yinuo Bai, Wei Yang, Lan Xu, Jingyi Yu

专题命中 扩散模型 ：diffusion(abstract)；分类 cs.GR

Comments Homepage: https://sites.google.com/view/bang7355608

From Gallery to Wrist: Realistic 3D Bracelet Insertion in Videos

Chenjian Gao, Lihe Ding, Rui Han, Zhanpeng Huang, Zibin Wang, Tianfan Xue

机构 * The Chinese University of Hong Kong（香港中文大学） ； SenseTime Research（商汤科技研究院） ； Shanghai AI Laboratory（上海人工智能实验室） 纠错

专题命中 扩散模型 ：diffusion(abstract)；分类 cs.CV

Comments 12 pages

FIX-CLIP: Dual-Branch Hierarchical Contrastive Learning via Synthetic Captions for Better Understanding of Long Text

Bingchao Wang, Zhiwei Ning, Jianyu Ding, Xuanang Gao, Yin Li, Dongsheng Jiang, Jie Yang, Wei Liu

机构 * Shanghai Jiao Tong University（上海交通大学） ； Huawei Inc.（华为公司） 纠错

专题命中 扩散模型 ：diffusion(abstract)；分类 cs.CV

Comments Accepted by ICCV 2025

Data-driven quantum Koopman method for simulating nonlinear dynamics

Baoyang Zhang, Zhen Lu, Yaomin Zhao, Yue Yang

机构 * State Key Laboratory for Turbulent and Complex Systems, School of Mechanics and Engineering Science, Peking University, Beijing 100871, China（湍流与复杂系统国家重点实验室，力学与工程科学学院，北京大学，北京100871，中国） ； HEDPS-CAPT, Peking University, Beijing 100871, China（HEDPS-CAPT，北京大学，北京100871，中国） 纠错

专题命中 扩散模型 ：diffusion(abstract)

Configurational Entropy and Adam-Gibbs Relation for Quantum Liquids

Yang Zhou, Ali Eltareb, Gustavo E. Lopez, Nicolas Giovambattista

专题命中 扩散模型 ：diffusion(abstract)

Numerical PDE solvers outperform neural PDE solvers

Patrick Chatain, Michael Rizvi-Martel, Guillaume Rabusseau, Adam Oberman

专题命中 扩散模型 ：diffusion(abstract)

Comments 17 pages, 7 figures

EdgeAgentX-DT: Integrating Digital Twins and Generative AI for Resilient Edge Intelligence in Tactical Networks

Abir Ray

机构 * Cornell University（康奈尔大学） 纠错

专题命中 扩散模型 ：diffusion(abstract)

Comments 13 pages, 6 figures

Singularity Cipher: A Topology-Driven Cryptographic Scheme Based on Visual Paradox and Klein Bottle Illusions

Abraham Itzhak Weinberg

专题命中 扩散模型 ：diffusion(abstract)

Exploration and aging of non-Markovian processes

Julien Brémont

专题命中 扩散模型 ：diffusion(abstract)

Comments PhD Thesis defended on July 3d, 2025 at Sorbonne Université, supervised by Raphaël Voituriez and Olivier Bénichou