图像生成

Inpainting-Guided Policy Optimization for Diffusion Large Language Models

Siyan Zhao, Mengchen Liu, Jing Huang, Miao Liu, Chenyu Wang, Bo Liu, Yuandong Tian, Guan Pang, Sean Bell, Aditya Grover, Feiyu Chen

机构 * Meta Superintelligence Labs（Meta超智能实验室） ； Tsinghua University, College of AI（清华大学人工智能学院） ； MIT（麻省理工学院） 纠错

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

Comments preprint; 21 pages

Compute Only 16 Tokens in One Timestep: Accelerating Diffusion Transformers with Cluster-Driven Feature Caching

Zhixin Zheng, Xinyu Wang, Chang Zou, Shaobo Wang, Linfeng Zhang

机构 * Shanghai Jiao Tong University（上海交通大学） ； University of Electronic Science and Technology of China（电子科技大学） ； Shandong University（山东大学） 纠错

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

Comments 11 pages, 11 figures; Accepted by ACM MM2025; Mainly focus on feature caching for diffusion transformers acceleration

Can Generative Geospatial Diffusion Models Excel as Discriminative Geospatial Foundation Models?

Yuru Jia, Valerio Marsocci, Ziyang Gong, Xue Yang, Maarten Vergauwen, Andrea Nascetti

机构 * KU Leuven（鲁汶大学） ； KTH（皇家理工学院） ； European Space Agency（欧洲航天局） ； Shanghai AI Lab（上海人工智能实验室） ； SJTU（上海交通大学） 纠错

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

Comments ICCV 2025, camera ready

AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion models

Yaopei Zeng, Yuanpu Cao, Bochuan Cao, Yurui Chang, Jinghui Chen, Lu Lin

机构 * College of Information Sciences and Technology, Pennsylvania State University, State College PA, USA（信息科学与技术学院，宾夕法尼亚州立大学，州立学院PA，美国） 纠错

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

Automated Tuning for Diffusion Inverse Problem Solvers without Generative Prior Retraining

Yaşar Utku Alçalar, Junno Yun, Mehmet Akçakaya

机构 * Department of Electrical \& Computer Engineering, University of Minnesota, MN, USA ； Center for Magnetic Resonance Research, University of Minnesota, MN, USA 纠错

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

Comments IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2025

Counterfactual Probabilistic Diffusion with Expert Models

Wenhao Mu, Zhi Cao, Mehmed Uludag, Alexander Rodríguez

专题命中 扩散模型 ：diffusion(title,abstract)

Integrating Diffusion-based Multi-task Learning with Online Reinforcement Learning for Robust Quadruped Robot Control

Xinyao Qin, Xiaoteng Ma, Yang Qi, Qihan Liu, Chuanyi Xue, Ning Gui, Qinyu Dong, Jun Yang, Bin Liang

机构 * Department of Automation, Tsinghua University（自动化系，清华大学） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Stochastic Processes and Diffusion Equations

Helder Rojas

专题命中 扩散模型 ：diffusion(title,abstract)

Diffusion Buffer: Online Diffusion-based Speech Enhancement with Sub-Second Latency

Bunlong Lay, Rostislav Makarov, Timo Gerkmann

机构 * University of Hamburg（汉堡大学） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 5 pages, 2 figures, Accepted to Interspeech 2025

LaDi-WM: A Latent Diffusion-based World Model for Predictive Manipulation

Yuhang Huang, Jiazhao Zhang, Shilong Zou, Xinwang Liu, Ruizhen Hu, Kai Xu

机构 * National University of Defense Technology（国防科技大学） ； Peking University（北京大学） ； Shenzhen University（深圳大学） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Comments CoRL 2025

A Unified Framework for Diffusion Bridge Problems: Flow Matching and Schrödinger Matching into One

Minyoung Kim

机构 * Samsung AI Center Cambridge, UK（三星人工智能中心） 纠错

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

A diffusion limit for Markov chains with log-linear interaction on a graph

Anatolii Puhalskii, Vadim Shcherbakov

专题命中 扩散模型 ：diffusion(title,abstract)

Comments Minor revision. Title changed

Effect of Coriolis Force on Diffusion of D Meson

Ashutosh Dwibedi, Nandita Padhan, Dani Rose J Marattukalam, Arghya Chatterjee, Sudipan De, Sabyasachi Ghosh

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 15 pages, 5 figures

Journal ref J. Phys. G: Nucl. Part. Phys. 52 095101, 2025

Single-file diffusion in spatially inhomogeneous systems

Benjamin Sorkin, David S. Dean

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 14 pages, 5 figures

Journal ref Phys. Rev. E 108, 054125 (2023)

Your Image is Secretly the Last Frame of a Pseudo Video

Wenlong Chen, Wenlin Chen, Lapo Rastrelli, Yingzhen Li

机构 * Imperial College London（伦敦帝国学院） ； University of Cambridge（剑桥大学） ； MPI for Intelligent Systems, Tübingen（图宾根智能系统研究所） 纠错

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

Comments Presented at the ICLR 2025 Workshop on Deep Generative Model in Machine Learning: Theory, Principle and Efficacy (DeLTa). 1-frame results for CIFAR10 in Table 2 corrected. Code released

Chord: Chain of Rendering Decomposition for PBR Material Estimation from Generated Texture Images

Zhi Ying, Boxiang Rong, Jingyu Wang, Maoyuan Xu

机构 * ETH Zürich（苏黎世联邦理工学院） 纠错

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

Comments Accepted to SIGGRAPH Asia 2025. Project page: https://ubisoft-laforge.github.io/world/chord

Convergence to equilibrium for fully discretizations of nonlocal Cahn-Hilliard equation

Danni Zhang, Dongling Wang

专题命中 扩散模型 ：diffusion(abstract)

The unified gas kinetic wave-particle method for the neutron transport equation

Guangwei Liu, Shuang Tan, Yanli Wang

专题命中 扩散模型 ：diffusion(abstract)

Effects of harmonic magnetic field boundary conditions in mean-field solar dynamo

V. V. Pipin

专题命中 扩散模型 ：diffusion(abstract)

Comments 16 pages, 7 figures, submitted to Solar Physics

Normalized solutions to a Choquard equation involving mixed local and nonlocal operators

J. Giacomoni, Nidhi Nidhi, K. Sreenadh

专题命中 扩散模型 ：diffusion(abstract)

Hydrogen-induced fast fracture in a 1.5 GPa dual-phase steel

Rama Srinivas Varanasi, Motomichi Koyama, Shuya Chiba, Saya Ajito, Eiji Akiyama

专题命中 扩散模型 ：diffusion(abstract)

Discrete-Time Quantum Random Walk for Epidemiological Modeling

Sayan Manna, Nikhil Kowshik, Sudebkumar Prasant Pal

专题命中 扩散模型 ：diffusion(abstract)

Comments 22 pages, 34 figures

Solving Lyapunov equations for electrically driven ternary electrolytes -- application to long-range van der Waals interactions

Guangle Du, Bing Miao, David S. Dean

专题命中 扩散模型 ：diffusion(abstract)

Comments 24 pages, 5 figures

Journal ref Phys. Rev. E 112, 024141 (2025)

The Precautionary Principle and the Innovation Principle: Incompatible Guides for AI Innovation Governance?

Kim Kaivanto

机构 * Lancaster University（兰卡斯特大学） 纠错

专题命中 扩散模型 ：diffusion(abstract)

Comments 47 pages

Fractional Brownian motion with mean-density interaction: a myopic self-avoiding fractional stochastic process

Jonathan House, Rashad Bakhshizada, Skirmantas Janušonis, Ralf Metzler, Thomas Vojta

专题命中 扩散模型 ：diffusion(abstract)

Comments 14 pages, 10 figures, final version as published

Journal ref Phys. Rev. E 112, 034119 (2025)