图像生成

Towards Better Optimization For Listwise Preference in Diffusion Models

Jiamu Bai, Xin Yu, Meilong Xu, Weitao Lu, Xin Pan, Kiwan Maeng, Daniel Kifer, Jian Wang, Yu Wang

机构 * Penn State University（宾夕法尼亚州立大学） ； TikTok Inc.（TikTok公司） ； Stony Brook University（石溪大学） 纠错

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

ZK-WAGON: Imperceptible Watermark for Image Generation Models using ZK-SNARKs

Aadarsh Anantha Ramakrishnan, Shubham Agarwal, Selvanayagam S, Kunwar Singh

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

Comments Accepted at AI-ML Systems 2025, Bangalore, India, https://www.aimlsystems.org/2025/

MSRepaint: Multiple Sclerosis Repaint with Conditional Denoising Diffusion Implicit Model for Bidirectional Lesion Filling and Synthesis

Jinwei Zhang, Lianrui Zuo, Yihao Liu, Hang Zhang, Samuel W. Remedios, Bennett A. Landman, Peter A. Calabresi, Shiv Saidha, Scott D. Newsome, Dzung L. Pham, Jerry L. Prince, Ellen M. Mowry, Aaron Carass

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

Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling

Huangjie Zheng, Shansan Gong, Ruixiang Zhang, Tianrong Chen, Jiatao Gu, Mingyuan Zhou, Navdeep Jaitly, Yizhe Zhang

机构 * Apple（苹果公司） 纠错

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

VGDM: Vision-Guided Diffusion Model for Brain Tumor Detection and Segmentation

Arman Behnam

机构 * College of Computing, Department of Computer Science（计算学院、计算机科学系） ； Illinois Institute of Technology（伊利诺伊理工学院） 纠错

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

Towards Photonic Band Diagram Generation with Transformer-Latent Diffusion Models

Valentin Delchevalerie, Nicolas Roy, Arnaud Bougaham, Alexandre Mayer, Benoît Frénay, Michaël Lobet

机构 * University of Namur, Faculty of Computer Science（努尔大学计算机科学学院） ； NaDI a & NaXys b institutes（NaDI机构及NaXys机构） ； University of Namur, Department of Physics（努尔大学物理系） ； NaXys a & NISM b institutes（NaXys机构及NISM机构） ； Cenaero（Cenaero机构） 纠错

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

VENTURA: Adapting Image Diffusion Models for Unified Task Conditioned Navigation

Arthur Zhang, Xiangyun Meng, Luca Calliari, Dong-Ki Kim, Shayegan Omidshafiei, Joydeep Biswas, Ali Agha, Amirreza Shaban

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

Comments 9 pages, 6 figures, 3 tables

Semantic and Visual Crop-Guided Diffusion Models for Heterogeneous Tissue Synthesis in Histopathology

Saghir Alfasly, Wataru Uegami, MD Enamul Hoq, Ghazal Alabtah, H. R. Tizhoosh

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

Comments NeurIPS 2025

DiCache: Let Diffusion Model Determine Its Own Cache

Jiazi Bu, Pengyang Ling, Yujie Zhou, Yibin Wang, Yuhang Zang, Dahua Lin, Jiaqi Wang

机构 * Shanghai Jiao Tong University（上海交通大学） ； University of Science and Technology of China（中国科学技术大学） ； Fudan University（复旦大学） ； The Chinese University of Hong Kong（香港中文大学） ； Shanghai AI Laboratory（上海人工智能实验室） ； Shanghai Innovation Institute（上海创新研究院） ； CPII under InnoHK（InnoHK下的CPII） 纠错

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

Comments Project Page: https://bujiazi.github.io/dicache.github.io/ Code: https://github.com/Bujiazi/DiCache

DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut

Paul Couairon, Mustafa Shukor, Jean-Emmanuel Haugeard, Matthieu Cord, Nicolas Thome

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

Comments NeurIPS 2024. Project page at https://diffcut-segmentation.github.io. Code at https://github.com/PaulCouairon/DiffCut

Phoenix: A Federated Generative Diffusion Model

Fiona Victoria Stanley Jothiraj, Afra Mashhadi

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

How Well do Diffusion Policies Learn Kinematic Constraint Manifolds?

Lexi Foland, Thomas Cohn, Adam Wei, Nicholas Pfaff, Boyuan Chen, Russ Tedrake

专题命中 扩散模型 ：diffusion(title,abstract)

Comments Under review. 8 pages, 3 figures, 3 tables. Additional results available at https://diffusion-learns-kinematic.github.io

Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive

Tyler Farghly, Peter Potaptchik, Samuel Howard, George Deligiannidis, Jakiw Pidstrigach

机构 * University of Oxford（牛津大学） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification

Zeqi Ye, Minshuo Chen

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 49 pages, 4 figures. Accepted as a poster at NeurIPS 2025

Local linearization for estimating the diffusion parameter of nonlinear stochastic wave equations with spatially correlated noise

Guoping Liu, Ran Wang

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 17 pages

MIRA: Towards Mitigating Reward Hacking in Inference-Time Alignment of T2I Diffusion Models

Kevin Zhai, Utsav Singh, Anirudh Thatipelli, Souradip Chakraborty, Anit Kumar Sahu, Furong Huang, Amrit Singh Bedi, Mubarak Shah

机构 * University of Central Florida（中央佛罗里达大学） ； University of Maryland, College Park（马里兰大学学院公园分校） ； Oracle（Oracle公司） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Diffusion Modeling of the Three-Dimensional Magnetic Field in the Sun's Corona

Daniel E. da Silva, Michael Kirk, Nat Mathews, Andrés Muñoz-Jaramillo

专题命中 扩散模型 ：diffusion(title,abstract)

DiffKnock: Diffusion-based Knockoff Statistics for Neural Networks Inference

Heng Ge, Qing Lu

专题命中 扩散模型 ：diffusion(title,abstract)

Selective Underfitting in Diffusion Models

Kiwhan Song, Jaeyeon Kim, Sitan Chen, Yilun Du, Sham Kakade, Vincent Sitzmann

专题命中 扩散模型 ：diffusion(title,abstract)

TraceDet: Hallucination Detection from the Decoding Trace of Diffusion Large Language Models

Shenxu Chang, Junchi Yu, Weixing Wang, Yongqiang Chen, Jialin Yu, Philip Torr, Jindong Gu

机构 * Department of Engineering Science, University of Oxford, UK（牛津大学工程科学系） ； Hasso Plattner Institute, University of Potsdam（波茨坦大学哈索普兰特纳研究所） ； Carnegie Mellon University（卡内基梅隆大学） ； Mohamed bin Zayed University of Artificial Intelligence（姆罕默德·本·拉希德智能大学） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Existence and Uniqueness of Solutions to Nonlinear Diffusion with Memory

Yixian Chen

专题命中 扩散模型 ：diffusion(title,abstract)

Robust Deep Network Learning of Nonlinear Regression Tasks by Parametric Leaky Exponential Linear Units (LELUs) and a Diffusion Metric

Enda D. V. Bigarella

机构 * Independent Researcher（独立研究者） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Enhanced DACER Algorithm with High Diffusion Efficiency

Yinuo Wang, Likun Wang, Mining Tan, Wenjun Zou, Xujie Song, Wenxuan Wang, Tong Liu, Guojian Zhan, Tianze Zhu, Shiqi Liu, Zeyu He, Feihong Zhang, Jingliang Duan, Shengbo Eben Li

机构 * School of Vehicle and Mobility & College of AI, Tsinghua University（车辆与移动学院及人工智能学院，清华大学） ； School of Artificial Intelligence, University of Chinese Academy of Sciences（人工智能学院，中国科学院大学） ； School of Mechanical Engineering, University of Science and Technology Beijing（机械工程学院，北京科技大学） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Handling Heterophily in Recommender Systems with Wavelet Hypergraph Diffusion

Darnbi Sakong, Thanh Tam Nguyen

专题命中 扩散模型 ：diffusion(title,abstract)

Comments Fixed and extended results

Diffusion of relativistic charged particles and field lines in isotropic turbulence: II. Analytical models

Marco Kuhlen, Vo Hong Minh Phan, Philipp Mertsch

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 13 pages, 5 figures; minor edits; accepted for publication in ApJ

Journal ref ApJ 992 (2025) 11

Bifurcation of global energy minimizers for a diffusion-aggregation model on sphere

Razvan C. Fetecau, Hansol Park, Vishnu Vaidya

专题命中 扩散模型 ：diffusion(title)

Comments I noticed that the same research has been done by other researchers after the submission. Since I did not cited the work of related work, I would like to withdraw this paper

Diffusion of relativistic charged particles and field lines in isotropic turbulence: I. Numerical simulations

Marco Kuhlen, Vo Hong Minh Phan, Philipp Mertsch

专题命中 扩散模型 ：diffusion(title)

Comments 26 pages, 16 figures; minor edits, conclusions unchanged; accepted for publication in ApJ

Journal ref ApJ 992 (2025) 10

Self-Forcing++: Towards Minute-Scale High-Quality Video Generation

Justin Cui, Jie Wu, Ming Li, Tao Yang, Xiaojie Li, Rui Wang, Andrew Bai, Yuanhao Ban, Cho-Jui Hsieh

机构 * University of Central Florida（中央佛罗里达大学） 纠错

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

Comments preprint

Growing Visual Generative Capacity for Pre-Trained MLLMs

Hanyu Wang, Jiaming Han, Ziyan Yang, Qi Zhao, Shanchuan Lin, Xiangyu Yue, Abhinav Shrivastava, Zhenheng Yang, Hao Chen

机构 * University of Maryland, College Park（马里兰大学学院公园分校） ； CUHK MMLab（香港大学MMLab） ； ByteDance（字节跳动） 纠错

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

Comments Project page: https://hywang66.github.io/bridge/

SCoT: Unifying Consistency Models and Rectified Flows via Straight-Consistent Trajectories

Zhangkai Wu, Xuhui Fan, Hongyu Wu, Longbing Cao

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