图像生成

Gait Recognition via Collaborating Discriminative and Generative Diffusion Models

Haijun Xiong, Bin Feng, Bang Wang, Xinggang Wang, Wenyu Liu

机构 * School of EIC, Huazhong University of Science & Technology（电子信息学院，华中科技大学） 纠错

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

Comments 14 pages, 4figures

MiVID: Multi-Strategic Self-Supervision for Video Frame Interpolation using Diffusion Model

Priyansh Srivastava, Romit Chatterjee, Abir Sen, Aradhana Behura, Ratnakar Dash

机构 * School of Computer Engineering, KIIT Deemed to be University（计算机工程学院，KIIT被认定大学） ； Department of Computer Science and Engineering, National Institute of Technology（计算机科学与工程系，国家理工学院） 纠错

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

A Dual-Mode ViT-Conditioned Diffusion Framework with an Adaptive Conditioning Bridge for Breast Cancer Segmentation

Prateek Singh, Moumita Dholey, P. K. Vinod

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

Comments 5 pages, 2 figures, 3 tables, submitted to ISBI 2026

C3-Diff: Super-resolving Spatial Transcriptomics via Cross-modal Cross-content Contrastive Diffusion Modelling

Xiaofei Wang, Stephen Price, Chao Li

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

DCDB: Dynamic Conditional Dual Diffusion Bridge for Ill-posed Multi-Tasks

Chengjie Huang, Jiafeng Yan, Jing Li, Lu Bai

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

Comments The article contains factual errors

Bridging Diffusion Models and 3D Representations: A 3D Consistent Super-Resolution Framework

Yi-Ting Chen, Ting-Hsuan Liao, Pengsheng Guo, Alexander Schwing, Jia-Bin Huang

机构 * University of Maryland, College Park（马里兰大学 College Park 分校） ； Carnegie Mellon University（卡内基梅隆大学） ； 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)；分类 cs.CV

Comments Accepted to ICCV 2025. Project website: https://consistent3dsr.github.io/

Forecasting When to Forecast: Accelerating Diffusion Models with Confidence-Gated Taylor

Xiaoliu Guan, Lielin Jiang, Hanqi Chen, Xu Zhang, Jiaxing Yan, Guanzhong Wang, Yi Liu, Zetao Zhang, Yu Wu

机构 * School of Computer Science, Wuhan University（武汉大学计算机学院） ； PaddlePaddle Team, Baidu Inc（百度公司PaddlePaddle团队） ； International Joint Innovation Center, The Electromagnetics Academy at Zhejiang University（浙江大学电磁学学院国际联合创新中心） ； Yunnan Key Laboratory of Media Convergence（云南媒体融合重点实验室） 纠错

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

Comments 15 pages, 4 figures

Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive Activations

Chaofan Gan, Yuanpeng Tu, Xi Chen, Tieyuan Chen, Yuxi Li, Mehrtash Harandi, Weiyao Lin

机构 * Shanghai Jiao Tong University（上海交通大学） ； Monash University（墨尔本大学） ； The University of Hong Kong（香港大学） 纠错

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

Comments NeurIPS 2025, code: https://github.com/ganchaofan0000/DiTF

SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models

Muyang Li, Yujun Lin, Zhekai Zhang, Tianle Cai, Xiuyu Li, Junxian Guo, Enze Xie, Chenlin Meng, Jun-Yan Zhu, Song Han

机构 * MIT（麻省理工学院） ； NVIDIA（NVIDIA公司） ； CMU（卡内基梅隆大学） ； Princeton（普林斯顿大学） ； UC Berkeley（加州大学伯克利分校） ； SJTU（上海交通大学） ； Pika Labs（Pika实验室） 纠错

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

Comments ICLR 2025 Spotlight Quantization Library: https://github.com/mit-han-lab/deepcompressor Inference Engine: https://github.com/mit-han-lab/nunchaku Website: https://hanlab.mit.edu/projects/svdquant Demo: https://demo.nunchaku.tech/ Blog: https://hanlab.mit.edu/blog/svdquant

X-Diffusion: Generating Detailed 3D MRI Volumes From a Single Image Using Cross-Sectional Diffusion Models

Emmanuelle Bourigault, Abdullah Hamdi, Amir Jamaludin

机构 * Visual Geometry Group, University of Oxford（牛津大学视觉几何组） 纠错

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

Comments accepted at ICCV 2025 GAIA workshop https://era-ai-biomed.github.io/GAIA/ , project website: https://emmanuelleb985.github.io/XDiffusion/

Diffusion-Reaction Epidemic Model with a Free Boundary

Aesol Jeon, Ki-Ahm Lee

专题命中 扩散模型 ：diffusion(title,abstract)

Numerical simulations of the Gatenby-Gawlinski model with heterogeneous acid diffusion in one space dimension

Chiara Simeoni, Elisa Scanu, Donato Pera, Corrado Mascia

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 31 pages, 23 figures, 2 tables

Conditional Diffusion as Latent Constraints for Controllable Symbolic Music Generation

Matteo Pettenó, Alessandro Ilic Mezza, Alberto Bernardini

专题命中 扩散模型 ：diffusion(title,abstract)

Journal ref In Proc. of the 26th International Society for Music Information Retrieval Conference (ISMIR 2025), Daejeon, Korea, Sept. 21-25, 2025

Fine-Tuning Diffusion-Based Recommender Systems via Reinforcement Learning with Reward Function Optimization

Yu Hou, Hua Li, Ha Young Kim, Won-Yong Shin

机构 * School of Mathematics and Computing (Computational Science and Engineering)（数学与计算学院（计算科学与工程）） ； Department of Industrial Engineering（工业工程系） ； Graduate School of Information（信息研究生院） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 14 pages, 12 figures, 9 tables

Bayesian spatio-temporal disaggregation modeling using a diffusion-SPDE approach: a case study of Aerosol Optical Depth in India

Fernando Rodriguez Avellaneda, Paula Moraga

专题命中 扩散模型 ：diffusion(title,abstract)

Effective Test-Time Scaling of Discrete Diffusion through Iterative Refinement

Sanghyun Lee, Sunwoo Kim, Seungryong Kim, Jongho Park, Dongmin Park

机构 * KAIST AI（韩国科学技术院人工智能研究所） ； Seoul National University（首尔国立大学） ； University of California, Berkeley（加州大学伯克利分校） ； KRAFTON 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

How Efficient Are Diffusion Language Models? A Critical Examination of Efficiency Evaluation Practices

Han Peng, Peiyu Liu, Zican Dong, Daixuan Cheng, Junyi Li, Yiru Tang, Shuo Wang, Wayne Xin Zhao

机构 * Gaoling School of Artificial Intelligence, Renmin University of China（中国人民大学人工智能学院） ； University of International Business and Economics（国际商务经济大学） ； Tsinghua University（清华大学） ； Department of Data Science, City University of Hong Kong（香港城市大学数据科学系） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

KDPE: A Kernel Density Estimation Strategy for Diffusion Policy Trajectory Selection

Andrea Rosasco, Federico Ceola, Giulia Pasquale, Lorenzo Natale

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 9th Conference on Robot Learning (CoRL 2025), Seoul, Korea

Journal ref 2025 Conference on Robot Learning

DIFFA: Large Language Diffusion Models Can Listen and Understand

Jiaming Zhou, Hongjie Chen, Shiwan Zhao, Jian Kang, Jie Li, Enzhi Wang, Yujie Guo, Haoqin Sun, Hui Wang, Aobo Kong, Yong Qin, Xuelong Li

机构 * College of Computer Science, Nankai University（南开大学计算机科学学院） ； Institute of Artificial Intelligence (TeleAI), China Telecom（中国电信人工智能研究所） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Comments Accepted by AAAI 2026

Laser-induced spectral diffusion of T centers in silicon nanophotonic devices

Xueyue Zhang, Niccolo Fiaschi, Lukasz Komza, Hanbin Song, Thomas Schenkel, Alp Sipahigil

专题命中 扩散模型 ：diffusion(title,abstract)

A solvable model of learning generative diffusion: theory and insights

Hugo Cui, Cengiz Pehlevan, Yue M. Lu

机构 * Center of Mathematical Sciences and Applications, Harvard University（哈佛大学数学科学中心） ； Center for Brain Science, Harvard University（哈佛大学脑科学中心） ； Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University（哈佛大学自然与人工智能研究学院） ； John A. Paulson School of Engineering and Applied Sciences, Harvard University（哈佛大学工程与应用科学学院） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Understanding and Mitigating Memorization in Diffusion Models for Tabular Data

Zhengyu Fang, Zhimeng Jiang, Huiyuan Chen, Xiao Li, Jing Li

机构 * Department of Computer ； Data Sciences, Case Western Reserve University, Cleveland, USA ； Department of Computer Science \& Engineering, Texas A\&M University, College Station, USA ； Department of Biochemistry, Case Western Reserve University, Cleveland, USA ； Center for RNA Science ； Therapeutics, Case Western Reserve University, Cleveland, USA ； Department of Biomedical Engineering, Case Western Reserve University, Cleveland, USA 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Comments Published in ICML 2025 (PMLR Volume 267): https://proceedings.mlr.press/v267/fang25f.html

Journal ref Proceedings of the 42nd International Conference on Machine Learning (ICML 2025), PMLR 267, Vancouver, Canada

Asymptotic behavior of solutions to a space fractional diffusion equation

Barbara Łupińska, Piotr Rybka

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 9 pages

PGDM: Physically guided diffusion model for land surface temperature downscaling

Huanyu Zhang, Bo-Hui Tang, Tian Hu, Yun Jiang, Zhao-Liang Li

专题命中 扩散模型 ：diffusion(title,abstract)

Gas Mixture Diffusion and Distribution in the Porous ZIF-90 Framework

Ashok Yacham, Tarak K. Patra, Jithin John Varghese

专题命中 扩散模型 ：diffusion(title,abstract)

Lookahead Unmasking Elicits Accurate Decoding in Diffusion Language Models

Sanghyun Lee, Seungryong Kim, Jongho Park, Dongmin Park

机构 * KAIST（韩国科学技术院） ； University of California, Berkeley（加州大学伯克利分校） ； KRAFTON 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Optimal Inference Schedules for Masked Diffusion Models

Sitan Chen, Kevin Cong, Jerry Li

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 33 pages, 1 figure. [added discussion of additional related work]

Improving Robustness to Out-of-Distribution States in Imitation Learning via Deep Koopman-Boosted Diffusion Policy

Dianye Huang, Nassir Navab, Zhongliang Jiang

机构 * Chair for Computer Aided Medical Procedures and Augmented Reality (CAMP), Technical University of Munich (TUM)（计算机辅助医疗程序与增强现实中心（CAMP），慕尼黑技术大学（TUM）） ； Munich Center for Machine Learning (MCML)（慕尼黑机器学习中心） ； Medical Intelligence and Robotic Cognition Lab (MIRoC), The University of Hong Kong (HKU)（医疗智能与机器人认知实验室（MIRoC），香港大学（HKU）） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Comments Accepted by IEEE T-RO

Tree-Guided Diffusion Planner

Hyeonseong Jeon, Cheolhong Min, Jaesik Park

机构 * Department of Computer Science & Engineering（计算机科学与工程系） ； Interdisciplinary Program of AI（人工智能跨学科项目） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Comments NeurIPS 2025

DynaGuide: Steering Diffusion Polices with Active Dynamic Guidance

Maximilian Du, Shuran Song

机构 * Stanford University（斯坦福大学） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 9 pages main, 21 pages with appendix and citations. 9 figures. Presented at Neurips 2025