图像生成

Decoding MGMT Methylation: A Step Towards Precision Medicine in Glioblastoma

Hafeez Ur Rehman, Sumaiya Fazal, Moutaz Alazab, Ali Baydoun

专题命中 文生图 ：image synthesis(abstract)；分类 cs.CV

When Algorithms Play Favorites: Lookism in the Generation and Perception of Faces

Miriam Doh, Aditya Gulati, Matei Mancas, Nuria Oliver

机构 * ISIA Lab - Université de Mons, IRIDIA Lab - Université Libre de Bruxelles（ISIA实验室-蒙斯大学，IRIDIA实验室-布鲁塞尔自由大学） ； ISIA Lab - Université de Mons（ISIA实验室-蒙斯大学） 纠错

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

Comments Accepted as an extended abstract at the Fourth European Workshop on Algorithmic Fairness (EWAF) (URL: https://2025.ewaf.org/home)

Journal ref Proceedings of Machine Learning Research 294 (2025) 474-480

PromptFlare: Prompt-Generalized Defense via Cross-Attention Decoy in Diffusion-Based Inpainting

Hohyun Na, Seunghoo Hong, Simon S. Woo

机构 * Sungkyunkwan University（成均馆大学） 纠错

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

Comments Accepted to ACM MM 2025

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers

Shikang Zheng, Liang Feng, Xinyu Wang, Qinming Zhou, Peiliang Cai, Chang Zou, Jiacheng Liu, Yuqi Lin, Junjie Chen, Yue Ma, Linfeng Zhang

机构 * Shanghai Jiao Tong University（上海交通大学） ； South China University of Technology（华南理工大学） ； Fudan University（复旦大学） ； Tsinghua University（清华大学） ； Hong Kong University of Science and Technology（香港科技大学） 纠错

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

RAGSR: Regional Attention Guided Diffusion for Image Super-Resolution

Haodong He, Yancheng Bai, Rui Lan, Xu Duan, Lei Sun, Xiangxiang Chu, Gui-Song Xia

机构 * School of Computer Science, Wuhan University（武汉大学计算机学院） ； Amap, Alibaba Group（阿里巴巴集团阿里的） 纠错

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

MV-RAG: Retrieval Augmented Multiview Diffusion

Yosef Dayani, Omer Benishu, Sagie Benaim

机构 * Hebrew University of Jerusalem（耶路撒冷希伯来大学） 纠错

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

Comments Project page: https://yosefdayani.github.io/MV-RAG

UnPose: Uncertainty-Guided Diffusion Priors for Zero-Shot Pose Estimation

Zhaodong Jiang, Ashish Sinha, Tongtong Cao, Yuan Ren, Bingbing Liu, Binbin Xu

机构 * Huawei Noah’s Ark Lab, Canada（华为诺亚实验室，加拿大） ； University of Toronto, Canada（多伦多大学，加拿大） 纠错

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

Comments Published at the Conference on Robot Learning (CoRL) 2025. For more details please visit https://frankzhaodong.github.io/UnPose

Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning

Xuan Zhang, Zhijian Zhou, Weidi Xu, Yanting Miao, Chao Qu, Yuan Qi

机构 * Fudan University（复旦大学） ； Shanghai Innovation Institute（上海创新研究院） ； Shanghai Academy of Artificial Intelligence for Science（上海人工智能科学研究院） ； INFTECH ； University of Waterloo（滑铁卢大学） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Guiding Diffusion Models with Reinforcement Learning for Stable Molecule Generation

Zhijian Zhou, Junyi An, Zongkai Liu, Yunfei Shi, Xuan Zhang, Fenglei Cao, Chao Qu, Yuan Qi

机构 * Fudan University（复旦大学） ； Shanghai Innovation Institute（上海创新研究院） ； Shanghai Academy of Artificial Intelligence for Science（上海人工智能科学研究院） ； INFTECH ； Zhongshan Hospital（中山医院） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

A Sharp KL-Convergence Analysis for Diffusion Models under Minimal Assumptions

Nishant Jain, Tong Zhang

机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 30 pages, 1 figure

Numerical solution of the time fractional nonlinear Fisher-KPP diffusion-reaction equation using the local domain boundary element method

Theodore V. Gortsas

专题命中 扩散模型 ：diffusion(title,abstract)

On the Collapse Errors Induced by the Deterministic Sampler for Diffusion Models

Yi Zhang, Zhenyu Liao, Jingfeng Wu, Difan Zou

机构 * Institute of Data Science, The University of Hong Kong（数据科学研究所，香港大学） ； School of Electronic Information and Communications, Huazhong University of Science and Technology（电子信息与通讯学院，华中科技大学） ； University of California, Berkeley（加州大学伯克利分校） ； Simons Institute for the Theory of Computing（Simons计算理论研究所） ； Institute of Data Science & School of Computing and Data Science, The University of Hong Kong（数据科学研究所及计算与数据科学学院，香港大学） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

xDiff: Online Diffusion Model for Collaborative Inter-Cell Interference Management in 5G O-RAN

Peihao Yan, Huacheng Zeng, Y. Thomas Hou

专题命中 扩散模型 ：diffusion(title,abstract)

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling

Jingren Liu, Shuning Xu, Yun Wang, Zhong Ji, Xiangyu Chen

专题命中 扩散模型 ：diffusion(title,abstract)

A low-rank, high-order implicit-explicit integrator for three-dimensional convection-diffusion equations

Joseph Nakao, Gianluca Ceruti, Lukas Einkemmer

专题命中 扩散模型 ：diffusion(title,abstract)

Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning

Hanyang Zhao, Haoxian Chen, Ji Zhang, David D. Yao, Wenpin Tang

机构 * StonyBrook（石溪大学） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Comments arXiv admin note: text overlap with arXiv:2409.08400

Diffusion-Based Surrogate Modeling and Multi-Fidelity Calibration

Naichen Shi, Hao Yan, Shenghan Guo, Raed Al Kontar

专题命中 扩散模型 ：diffusion(title,abstract)

Journal ref IEEE Transactions on Automation Science and Engineering, 2025

A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization

Sebastian Sanokowski, Sepp Hochreiter, Sebastian Lehner

机构 * Institute for Machine Learning, Johannes Kepler University, Linz, Austria（机器学习研究所，约翰尼斯·凯普大学，林茨，奥地利） ； NXAI GmbH（NXAI公司） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Comments Accepted at ICML 2024

Journal ref Proceedings of the 41st International Conference on Machine Learning, PMLR 235:43346-43367, 2024

Objective comparison of methods to decode anomalous diffusion

Gorka Muñoz-Gil, Giovanni Volpe, Miguel Angel Garcia-March, Erez Aghion, Aykut Argun, Chang Beom Hong, Tom Bland, Stefano Bo, J. Alberto Conejero, Nicolás Firbas, Òscar Garibo i Orts, Alessia Gentili, Zihan Huang, Jae-Hyung Jeon, Hélène Kabbech, Yeongjin Kim, Patrycja Kowalek, Diego Krapf, Hanna Loch-Olszewska, Michael A. Lomholt, Jean-Baptiste Masson, Philipp G. Meyer, Seongyu Park, Borja Requena, Ihor Smal, Taegeun Song, Janusz Szwabiński, Samudrajit Thapa, Hippolyte Verdier, Giorgio Volpe, Artur Widera, Maciej Lewenstein, Ralf Metzler, Carlo Manzo

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 96 pages, 5 main figures, 1 table, 29 supplementary figures. This is the author's version of the article published in Nature Communications under CC BY 4.0. The final published version is available at https://doi.org/10.1038/s41467-021-26320-w

Journal ref Nat Commun 12, 6253 (2021)

Two-flow Feedback Multi-scale Progressive Generative Adversarial Network

Sun Weikai, Song Shijie, Chi Wenjie

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

Text-to-3D Generation using Jensen-Shannon Score Distillation

Khoi Do, Binh-Son Hua

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

Localized Gaussian Splatting Editing with Contextual Awareness

Hanyuan Xiao, Yingshu Chen, Huajian Huang, Haolin Xiong, Jing Yang, Pratusha Prasad, Yajie Zhao

机构 * University of Southern California（南加州大学） ； Institute for Creative Technologies（创意科技研究所） ； HKUST（香港科技大学） ； University of California, Los Angeles（加州大学洛杉矶分校） 纠错

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

Comments WACV 2025

Clinically-Informed Preprocessing Improves Stroke Segmentation in Low-Resource Settings

Juampablo E. Heras Rivera, Hitender Oswal, Tianyi Ren, Yutong Pan, William Henry, Caitlin M. Neher, Mehmet Kurt

机构 * University of Washington（华盛顿大学） 纠错

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

Comments Accepted at MICCAI MIRASOL Workshop

Diverse Signer Avatars with Manual and Non-Manual Feature Modelling for Sign Language Production

Mohamed Ilyes Lakhal, Richard Bowden

机构 * CVSSP, University of Surrey（计算机视觉与模式识别研究所，萨里大学） 纠错

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

Underdamped Langevin MCMC with third order convergence

Maximilian Scott, Dáire O'Kane, Andraž Jelinčič, James Foster

机构 * Department of Mathematical Sciences University of Bath（数学科学系英国巴斯大学） 纠错

专题命中 扩散模型 ：diffusion(abstract)

Comments 62 pages, 7 figures

Machine Learning for Medicine Must Be Interpretable, Shareable, Reproducible and Accountable by Design

Ayyüce Begüm Bektaş, Mithat Gönen

专题命中 扩散模型 ：diffusion(abstract)

Multiscale Analysis of a Kinetic Model of Confined Suspensions of Self-Propelled Rods

Leonid Berlyand, Spencer Dang, Pierre-Emmanuel Jabin, Mykhailo Potomkin

专题命中 扩散模型 ：diffusion(abstract)

Universal Fluctuations in the Tail Probability for d=2 Random Walks in Space-Time Random Environments

Franscesca Ark, Jacob B. Hass, Eric I. Corwin

专题命中 扩散模型 ：diffusion(abstract)

Comments 6 pages, 4 figures

Physical blowups via buffered time change in a mean-field neural network

Nikolaos Papadopoulos, Thibaud Taillefumier

专题命中 扩散模型 ：diffusion(abstract)

Comments 70 pages, 4 figures

A Monte Carlo simulation on the scattering coefficients of solar radio wave propagation

Jiazhen Gan, Chuanbing Wang

专题命中 扩散模型 ：diffusion(abstract)