图像生成

Double Helix Diffusion for Cross-Domain Anomaly Image Generation

Linchun Wu, Qin Zou, Xianbiao Qi, Bo Du, Zhongyuan Wang, Qingquan Li

机构 * School of Computer Science, Wuhan University（武汉大学计算机学院） ； Shenzhen Intellifusion Technologies Co Ltd（深圳智融科技有限公司） ； Guangdong Artificial Intelligence and Digital Economy Laboratory (SZ)（广东省人工智能与数字经济实验室） 纠错

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

Gradient-Free Adversarial Purification with Diffusion Models

Xuelong Dai, Dong Wang, Xiuzhen Cheng, Bin Xiao

机构 * School of Artificial Intelligence, Shandong University（人工智能学院，山东大学） ； Department of Computing, The Hong Kong Polytechnic University（计算机学院，香港理工大学） 纠错

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

AC-Refiner: Efficient Arithmetic Circuit Optimization Using Conditional Diffusion Models

Chenhao Xue, Kezhi Li, Jiaxing Zhang, Yi Ren, Zhengyuan Shi, Chen Zhang, Yibo Lin, Lining Zhang, Qiang Xu, Guangyu Sun

机构 * School of Integrated Circuits, Peking University（集成电路学院，北京大学） ； Department of Computer Science and Engineering, The Chinese University of Hong Kong（计算机科学与工程系，香港中文大学） ； School of Software and Microelectronics, Peking University（软件与微电子学院，北京大学） ； Shanghai Jiao Tong University（上海交通大学） ； Institute of Electronic Design Automation, Peking University（电子设计自动化研究所，北京大学） ； Beijing Advanced Innovation Center for Integrated Circuits（北京集成电路先进创新中心） ； School of Electronic and Computer Engineering, Peking University（电子与计算机工程学院，北京大学） ； National Center of Technology Innovation for EDA（EDA技术创新国家中心） 纠错

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

Comments 8 pages, 12 figures, to appear in ASP-DAC'26

Palmprint De-Identification Using Diffusion Model for High-Quality and Diverse Synthesis

Licheng Yan, Bob Zhang, Andrew Beng Jin Teoh, Lu Leng, Shuyi Li, Yuqi Wang, Ziyuan Yang

机构 * PAMI Research Group, Department of Computer and Information Science, University of Macau（PAMI研究组，计算机与信息科学系，澳门大学） ； School of Electrical and Electronic Engineering, College of Engineering, Yonsei University（电气电子工程学院，延世大学） ； School of Software, Nanchang Hangkong University（软件学院，南昌航空大学） ； College of Computer Science, Sichuan University（计算机科学学院，四川大学） 纠错

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

Pitfalls of defacing whole-head MRI: re-identification risk with diffusion models and compromised research potential

Chenyu Gao, Kaiwen Xu, Michael E. Kim, Lianrui Zuo, Zhiyuan Li, Derek B. Archer, Timothy J. Hohman, Ann Zenobia Moore, Luigi Ferrucci, Lori L. Beason-Held, Susan M. Resnick, Christos Davatzikos, Jerry L. Prince, Bennett A. Landman

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

Comments Accepted to Computers in Biology and Medicine

InJecteD: Analyzing Trajectories and Drift Dynamics in Denoising Diffusion Probabilistic Models for 2D Point Cloud Generation

Sanyam Jain, Khuram Naveed, Illia Oleksiienko, Alexandros Iosifidis, Ruben Pauwels

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

Discovering Mathematical Equations with Diffusion Language Model

Xiaoxu Han, Chengzhen Ning, Jinghui Zhong, Fubiao Yang, Yu Wang, Xin Mu

专题命中 扩散模型 ：diffusion(title,abstract)

Mathematical Study of Reaction-Diffusion in Congested Crowd Motion

Noureddine Igbida, Fahd Karami, Driss Meskine

专题命中 扩散模型 ：diffusion(title,abstract)

Non-parametric estimation of non-linear diffusion coefficient in parabolic SPDEs

Martin Andersson, Benny Avelin, Valentin Garino, Pauliina Ilmonen, Lauri Viitasaari

专题命中 扩散模型 ：diffusion(title,abstract)

Neural Network Localized Orthogonal Decomposition for Numerical Homogenization of Diffusion Operators with Random Coefficients

Fabian Kröpfl, Daniel Peterseim, Elisabeth Ullmann

专题命中 扩散模型 ：diffusion(title,abstract)

Bayesian Signal Separation via Plug-and-Play Diffusion-Within-Gibbs Sampling

Yi Zhang, Rui Guo, Yonina C. Eldar

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 5 pages, 1 figure, submitted to conference

A Statistical Benchmark for Diffusion Posterior Sampling Algorithms

Martin Zach, Youssef Haouchat, Michael Unser

专题命中 扩散模型 ：diffusion(title,abstract)

$L^2$-solutions to stochastic reaction-diffusion equations with superlinear drifts driven by space-time white noise^

Shijie Shang, Pengyu Wang, Tusheng Zhang

专题命中 扩散模型 ：diffusion(title,abstract)

Diffusion-Based Generation and Imputation of Driving Scenarios from Limited Vehicle CAN Data

Julian Ripper, Ousama Esbel, Rafael Fietzek, Max Mühlhäuser, Thomas Kreutz

机构 * Telecooperation Lab at Technical University of Darmstadt（德累斯顿技术大学电信合作实验室） ； Compredict GmbH（Compredict公司） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Comments Preprint, Paper has been accepted at ITSC 2025

Data-Driven Discovery of Emergent Dynamics in Reaction-Diffusion Systems from Sparse and Noisy Observations

Saumitra Dwivedi, Ricardo da Silva Torres, Ibrahim A. Hameed, Gunnar Tufte, Anniken Susanne T. Karlsen

机构 * Department of ICT and Natural Sciences, Norwegian University of Science and Technology（信息与自然科学系，挪威科学技术大学） ； Department of Computer Science, Norwegian University of Science and Technology（计算机科学系，挪威科学技术大学） ； Artificial Intelligence Group, Wageningen University and Research（人工智能组，瓦赫宁根大学与研究中心） ； Department of Mechanical Engineering and Technology Management, Norwegian University of Life Sciences（机械工程与技术管理系，挪威生命科学大学） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Keypoint-based Diffusion for Robotic Motion Planning on the NICOL Robot

Lennart Clasmeier, Jan-Gerrit Habekost, Connor Gäde, Philipp Allgeuer, Stefan Wermter

机构 * Dept. of Informatics, University of Hamburg（信息学院，汉堡大学） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Comments Accepted and published at the 34th International Conference on Artificial Neural Networks (ICANN 2025)

Atomistic Generative Diffusion for Materials Modeling

Nikolaj Rønne, Bjørk Hammer

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 14 pages, 7 figures

Two types of $q$-Gaussian distributions used to study the diffusion in a finite region

Won Sang Chung, L. M. Nieto, Soroush Zare, Hassan Hassanabadi

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 17 pages, 5 figures

Journal ref Math. Methods Appl. Sci. 48, 13192 (2025)

WaterFlow: Learning Fast & Robust Watermarks using Stable Diffusion

Vinay Shukla, Prachee Sharma, Ryan Rossi, Sungchul Kim, Tong Yu, Aditya Grover

专题命中 扩散模型 ：diffusion(title,abstract)

InfoGain Wavelets: Furthering the Design of Graph Diffusion Wavelets

David R. Johnson, Smita Krishnaswamy, Michael Perlmutter

机构 * INFOGAIN 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Detection of Synthetic Face Images: Accuracy, Robustness, Generalization

Nela Petrzelkova, Jan Cech

机构 * Faculty of Electrical Engineering, \ Technical University in Prague, Czech Republic 纠错

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

Comments The paper was presented at the DAGM German Conference on Pattern Recognition (GCPR), 2025

WorldExplorer: Towards Generating Fully Navigable 3D Scenes

Manuel-Andreas Schneider, Lukas Höllein, Matthias Nießner

机构 * Technical University of Munich（慕尼黑技术大学） 纠错

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

Comments Accepted to SIGGRAPH Asia 2025. Project page: see https://mschneider456.github.io/world-explorer, video: see https://youtu.be/N6NJsNyiv6I, code: https://github.com/mschneider456/WorldExplorer

Runge-Kutta Approximation and Decoupled Attention for Rectified Flow Inversion and Semantic Editing

Weiming Chen, Zhihan Zhu, Yijia Wang, Zhihai He

机构 * Southern University of Science and Technology（南方科技大学） ； Pengcheng Laboratory（鹏城实验室） 纠错

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

SPGen: Spherical Projection as Consistent and Flexible Representation for Single Image 3D Shape Generation

Jingdong Zhang, Weikai Chen, Yuan Liu, Jionghao Wang, Zhengming Yu, Zhuowen Shen, Bo Yang, Wenping Wang, Xin Li

机构 * Texas A\&M University（德克萨斯大学） ； Hong Kong University of Science（香港科学大学） 纠错

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

ALL-PET: A Low-resource and Low-shot PET Foundation Model in Projection Domain

Bin Huang, Kang Chen, Bingxuan Li, Huafeng Liu, Qiegen Liu

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

T2V-Turbo-v2: Enhancing Video Generation Model Post-Training through Data, Reward, and Conditional Guidance Design

Jiachen Li, Qian Long, Jian Zheng, Xiaofeng Gao, Robinson Piramuthu, Wenhu Chen, William Yang Wang

机构 * UC Santa Barbara（加州大学圣芭芭拉分校） ； UC Los Angeles（加州大学洛杉矶分校） ； Amazon AGI（亚马逊人工智能实验室） ； University of Waterloo（滑铁卢大学） 纠错

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

Comments Accepted by ICLR 2025. Project Page: https://t2v-turbo-v2.github.io/

Mesoscopic scale study of lateral dynamics of Sn-intercalation of the buffer layer on SiC

Benno Harling, Zamin Mamiyev, Christoph Tegenkamp, Martin Wenderoth

专题命中 扩散模型 ：diffusion(abstract,comments)

Comments 13 pages main text with 5 figures and 5 pages supplemental information with 4 figures. Keywords: Epitaxial Graphene, Intercalation, AFM/KPFM, SiC, Sn Tin, Diffusion

Journal ref Carbon 244 (2025)

Runaway electron interactions with whistler waves in tokamak plasmas: energy-dependent transport scaling

Yashika Ghai, D. Del-Castillo-Negrete, D. A. Spong, M. T. Beidler

专题命中 扩散模型 ：diffusion(abstract)

Beyond Private or Public: Large Language Models as Quasi-Public Goods in the AI Economy

Yukun Zhang, TianYang Zhang

专题命中 扩散模型 ：diffusion(abstract)

PDE-Based Bayesian Hierarchical Modeling for Event Spread, with Application to COVID-19 Infection

Mengqi Cen, Xuejing Meng, X. Joan Hu, Juxin Liu, Jianhong Wu

专题命中 扩散模型 ：diffusion(abstract)