图像生成

Hierarchical Diffusion Framework for Pseudo-Healthy Brain MRI Inpainting with Enhanced 3D Consistency

Dou Hoon Kwark, Shirui Luo, Xiyue Zhu, Yudu Li, Zhi-Pei Liang, Volodymyr Kindratenko

机构 * The Grainger College of Engineering（格拉inger工程学院） ； National Center for Supercomputing Applications（国家超级计算应用中心） ； 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)；inpainting(title,abstract)；分类 cs.CV

Comments 11 pages, 2 figures

PolarAnything: Diffusion-based Polarimetric Image Synthesis

Kailong Zhang, Youwei Lyu, Heng Guo, Si Li, Zhanyu Ma, Boxin Shi

机构 * Beijing University of Posts and Telecommunications（北京邮电大学） ； Xiong’an Aerospace Information Research Institute（雄安航空航天信息研究所） ； State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University（北京大学多媒体信息处理国家重点实验室，计算机科学学院） ； National Engineering Research Center of Visual Technology, School of Computer Science, Peking University（视觉技术国家工程研究中心，计算机科学学院） 纠错

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

Comments 11 pages

Exploiting Gaussian Agnostic Representation Learning with Diffusion Priors for Enhanced Infrared Small Target Detection

Junyao Li, Yahao Lu, Xingyuan Guo, Xiaoyu Xian, Tiantian Wang, Yukai Shi

机构 * School of Information Engineering, Guangdong University of Technology, Guangzhou, 510006, China（广东技术大学信息工程学院） ； Guangzhou National Laboratory, Guangzhou 510006, China（广州国家实验室） 纠错

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

Comments Submitted to Neural Networks. We propose the Gaussian Group Squeezer, leveraging Gaussian sampling and compression with diffusion models for channel-based data augmentation

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model

Yilong Hu, Shijie Chang, Lihe Zhang, Feng Tian, Weibing Sun, Huchuan Lu

机构 * Dalian University of Technology, Dalian, China（大连理工大学） ； Department of Urology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China（大连大学附属中山医院泌尿外科部） 纠错

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

Comments MICCAI2025

LEAF: Latent Diffusion with Efficient Encoder Distillation for Aligned Features in Medical Image Segmentation

Qilin Huang, Tianyu Lin, Zhiguang Chen, Fudan Zheng

机构 * School of Computer Science and Engineering, Sun Yat-sen University, China（计算机科学与工程学院，中山大学） ； Department of Biomedical Engineering, Johns Hopkins University, United States（生物医学工程系，约翰霍普金斯大学） 纠错

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

Comments Accepted at MICCAI 2025

Degradation-Consistent Learning via Bidirectional Diffusion for Low-Light Image Enhancement

Jinhong He, Minglong Xue, Zhipu Liu, Mingliang Zhou, Aoxiang Ning, Palaiahnakote Shivakumara

机构 * Chongqing University of Technology（重庆理工大学） ； Chongqing University（重庆大学） ； University of Salford（萨尔福德大学） 纠错

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

Comments 10page

Direct Dual-Energy CT Material Decomposition using Model-based Denoising Diffusion Model

Hang Xu, Alexandre Bousse, Alessandro Perelli

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

Comments 13 pages, 10 figures, 2 tables

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction

Xin Xie, Yu Guan, Zhuoxu Cui, Dong Liang, Qiegen Liu

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

Comments 29 pages,7 figures

Diffuse and Disperse: Image Generation with Representation Regularization

Runqian Wang, Kaiming He

机构 * MIT（麻省理工学院） 纠错

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

MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection

Farzad Beizaee, Gregory Lodygensky, Christian Desrosiers, Jose Dolz

机构 * ÉTS Montreal（蒙特利尔ÉTS） ； CHU Sainte-Justine Hospital, Montreal（蒙特利尔圣朱斯特医院） ； University of Montreal（蒙特利尔大学） 纠错

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

Journal ref Information Processing in Medical Imaging (IPMI), 2025

History-Guided Video Diffusion

Kiwhan Song, Boyuan Chen, Max Simchowitz, Yilun Du, Russ Tedrake, Vincent Sitzmann

机构 * MIT（麻省理工学院） ； Harvard University（哈佛大学） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

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

Comments ICML 2025. Project website: https://boyuan.space/history-guidance

X-ray2CTPA: Leveraging Diffusion Models to Enhance Pulmonary Embolism Classification

Noa Cahan, Eyal Klang, Galit Aviram, Yiftach Barash, Eli Konen, Raja Giryes, Hayit Greenspan

机构 * Faculty of Engineering, Tel Aviv University（工程学院，特拉维夫大学） ； Division of Data-Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai（数据驱动与数字医学部，医学部，Mount Sinai医学院） ； Department of Diagnostic Imaging, Sheba Medical Center, Ramat Gan, Israel（诊断影像科，Sheba 医疗中心，Ramat Gan，以色列） ； Department of Radiology, Icahn School of Medicine, Mount Sinai（放射科，Icahn医学院，Mount Sinai） 纠错

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

Comments preprint, project code: https://github.com/NoaCahan/X-ray2CTPA

Journal ref npj Digit. Med. 8, 439 (2025)

A new Phase-Field Model for Anisotropic Surface Diffusion: Anisotropic Cahn-Hilliard Equation with Improved Conservation (ACH-IC)

Zeyu Zhou, Wei Jiang, Tiezheng Qian, Zhen Zhang

专题命中 扩散模型 ：diffusion(title,abstract)

Compositional Tuning in NaxAlB14 via Diffusion Control

Mihiro Hoshino, Suguru Iwasaki, Shigeto Hirai, Yoshihiko Ihara, Tohru Sugahara, Haruhiko Morito, Masaya Fujioka

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 14 pages, 4 figures

Diffusion over ramified domains: solvability and fine regularity

Kevin Silva-Pérez, Alejandro Vélez-Santiago

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 40 pages, 9 figures

PinchBot: Long-Horizon Deformable Manipulation with Guided Diffusion Policy

Alison Bartsch, Arvind Car, Amir Barati Farimani

机构 * Department of Mechanical Engineering at Carnegie Mellon University（卡内基梅隆大学机械工程系） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

LSDM: LLM-Enhanced Spatio-temporal Diffusion Model for Service-Level Mobile Traffic Prediction

Shiyuan Zhang, Tong Li, Zhu Xiao, Hongyang Du, Kaibin Huang

机构 * College of Computer Science and Electronic Engineering, Hunan University（计算机科学与电子工程学院，湖南大学） ； Department of Electrical and Electronic Engineering, University of Hong Kong（电气与电子工程系，香港大学） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 14 pages, 9 figures

Variational inference for pile-up removal at hadron colliders with diffusion models

Malte Algren, Tobias Golling, Christopher Pollard, John Andrew Raine

机构 * Département de physique nucléaire et corpusculaire, University of Geneva, Geneva 1211 Switzerland（核物理与粒子物理系，日内瓦大学，瑞士日内瓦1211） ； Department of physics, University of Warwick, Coventry CV4 7AL, United Kingdom（物理系，沃里克大学，英国科文特里CV4 7AL） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 19 pages, 13 figures

Journal ref Phys. Rev. D 111, 116010 (2025)

Advancing Multimodal LLMs by Large-Scale 3D Visual Instruction Dataset Generation

Liu He, Xiao Zeng, Yizhi Song, Albert Y. C. Chen, Lu Xia, Shashwat Verma, Sankalp Dayal, Min Sun, Cheng-Hao Kuo, Daniel Aliaga

机构 * Purdue University（普渡大学） ； Amazon（亚马逊） 纠错

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

Captain Cinema: Towards Short Movie Generation

Junfei Xiao, Ceyuan Yang, Lvmin Zhang, Shengqu Cai, Yang Zhao, Yuwei Guo, Gordon Wetzstein, Maneesh Agrawala, Alan Yuille, Lu Jiang

机构 * Johns Hopkins University（约翰霍普金斯大学） ； Stanford University（斯坦福大学） 纠错

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

Comments Under review. Project page: https://thecinema.ai

FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities

Jin Wang, Yao Lai, Aoxue Li, Shifeng Zhang, Jiacheng Sun, Ning Kang, Chengyue Wu, Zhenguo Li, Ping Luo

机构 * The University of Hong Kong（香港大学） ； Huawei Noah’s Ark Lab（华为诺亚实验室） 纠错

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

Comments 37 pages, 12 figures

Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS

Seunghoi Kim, Henry F. J. Tregidgo, Matteo Figini, Chen Jin, Sarang Joshi, Daniel C. Alexander

机构 * Hawkes Institute, University College London, UK Department of Medical Physics ； Biomedical Engineering, University College London, UK Department of Computer Science, University College London, UK The University of Utah, USA, Centre for AI, DS\&AI, AstraZeneca, UK 纠错

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

Modelling Tritium Production and Release at High-Energy Proton Accelerators

Dali Georgobiani, Thomas Ginter, Alajos Makovec, Igor Rakhno, Matthew Strait, Igor Tropin

专题命中 扩散模型 ：diffusion(abstract)

Comments The 16th workshop on Shielding aspects of Accelerators, Targets and Irradiation Facilities (SATIF-16)

Multishot Dual Polarity GRAPPA: Robust Nyquist Ghost Correction for multishot EPI

Yuancheng Jiang, Yohan Jun, Qiang Liu, Wen Zhong, Yogesh Rathi, Hua Guo, Berkin Bilgic

专题命中 扩散模型 ：diffusion(abstract)

Comments 5 figures, 6 supplementary figures

Pathwise analysis of log-optimal portfolios

Andrew L. Allan, Anna P. Kwossek, Chong Liu, David J. Prömel

专题命中 扩散模型 ：diffusion(abstract)

Dissipation functions and Brownian oscillators

Matteo Colangeli, Lamberto Rondoni, Pasquale Vozza

专题命中 扩散模型 ：diffusion(abstract)

Human-AI Co-Creation: A Framework for Collaborative Design in Intelligent Systems

Zhangqi Liu

专题命中 扩散模型 ：diffusion(abstract)

Towards Understanding the Benefits of Neural Network Parameterizations in Geophysical Inversions: A Study With Neural Fields

Anran Xu, Lindsey J. Heagy

机构 * Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia（地球、海洋与大气科学系，不列颠哥伦比亚大学） 纠错

专题命中 扩散模型 ：diffusion(abstract)

Transient Finite Element Simulation of Accelerator Magnets Using Thermal Thin Shell Approximation

Erik Schnaubelt, Andrea Vitrano, Mariusz Wozniak, Emmanuele Ravaioli, Arjan Verweij, Sebastian Schöps

专题命中 扩散模型 ：diffusion(abstract)

Comments This is the version of the article before peer review or editing, as submitted by an author to Superconductor Science and Technology

Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Nate Gruver, Anuroop Sriram, Andrea Madotto, Andrew Gordon Wilson, C. Lawrence Zitnick, Zachary Ulissi

机构 * NYU（纽约大学） ； Meta FAIR 纠错

专题命中 扩散模型 ：diffusion(abstract)

Comments ICLR 2024. Code available at: https://github.com/facebookresearch/crystal-llm