图像生成

DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models

Xiaoxiao He, Quan Dao, Ligong Han, Song Wen, Minhao Bai, Di Liu, Han Zhang, Martin Renqiang Min, Felix Juefei-Xu, Chaowei Tan, Bo Liu, Kang Li, Hongdong Li, Junzhou Huang, Faez Ahmed, Akash Srivastava, Dimitris Metaxas

机构 * Rutgers University（新泽西罗格斯大学） ； MIT-IBM Watson AI Lab（MIT-IBM沃森人工智能实验室） ； Red Hat AI Innovation（红帽AI创新） ； Google DeepMind（谷歌DeepMind） ； NYU（纽约大学） ； Walmart Global Tech（沃尔玛全球技术） ； NEC Labs America（NEC美国实验室） ； Massachusetts Institute of Technology（麻省理工学院） ； ANU（澳大利亚国立大学） ； UT Arlington（德克萨斯大学阿灵顿分校） 纠错

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

Comments Project webpage: https://hexiaoxiao-cs.github.io/DICE/. This paper was accepted to CVPR 2025 but later desk-rejected post camera-ready, due to a withdrawal from ICLR made 14 days before reviewer assignment

BeyondMimic: From Motion Tracking to Versatile Humanoid Control via Guided Diffusion

Qiayuan Liao, Takara E. Truong, Xiaoyu Huang, Yuman Gao, Guy Tevet, Koushil Sreenath, C. Karen Liu

机构 * University of California, Berkeley（加州大学伯克利分校） ； Stanford University（斯坦福大学） 纠错

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

Comments Project page: https://beyondmimic.github.io/

GrounDiff: Diffusion-Based Ground Surface Generation from Digital Surface Models

Oussema Dhaouadi, Johannes Meier, Jacques Kaiser, Daniel Cremers

机构 * DeepScenario ； TU Munich（慕尼黑工业大学） ； Munich Center for Machine Learning（慕尼黑机器学习中心） 纠错

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

Comments Accepted at WACV 2026

Equivariant Sampling for Improving Diffusion Model-based Image Restoration

Chenxu Wu, Qingpeng Kong, Peiang Zhao, Wendi Yang, Wenxin Ma, Fenghe Tang, Zihang Jiang, S. Kevin Zhou

机构 * School of Biomedical Engineering, Division of Life Sciences and Medicine, USTC（生物医学工程学院，生命科学与医学系，中国科学技术大学） ； MIRACLE Center, Suzhou Institute for Advance Research, USTC（MIRACLE中心，苏州市先进研究院，中国科学技术大学） ； Key Laboratory of Intelligent Information Processing of CAS, ICT, CAS（中国科学院智能信息处理重点实验室，ICT，中国科学院） ； State Key Laboratory of Precision and Intelligent Chemistry, USTC（中国科学技术大学精密与智能化学国家重点实验室） 纠错

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

Comments 12 pages, 9 figures

AI-Integrated Decision Support System for Real-Time Market Growth Forecasting and Multi-Source Content Diffusion Analytics

Ziqing Yin, Xuanjing Chen, Xi Zhang

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

Latent Knowledge-Guided Video Diffusion for Scientific Phenomena Generation from a Single Initial Frame

Qinglong Cao, Xirui Li, Ding Wang, Chao Ma, Yuntian Chen, Xiaokang Yang

机构 * Eitech（艾tech） 纠错

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

Mean Field Game with Reflected Jump Diffusion Dynamics: A Linear Programming Approach

Zongxia Liang, Xiang Yu, Keyu Zhang

专题命中 扩散模型 ：diffusion(title,abstract)

Comments Keywords: Mean field games, linear programming approach, reflected diffusion with jumps, mean field equilibrium, occupation measure

Recurrent neural network analysis of single trajectories switching between anomalous diffusion states

Alvaro Lanza, Xiang Qu, Stefano Bo

专题命中 扩散模型 ：diffusion(title,abstract)

Comments Revised version. The manuscript presents a method that was used to participate in The 2024 Anomalous Diffusion Challenge

Journal ref Alvaro Lanza et al 2025 J. Phys. Photonics 7 045001

Parallel and GPU accelerated code for phase-field and reaction-diffusion simulations

Steven A. Silber, Mikko Karttunen

专题命中 扩散模型 ：diffusion(title,abstract)

Diffusion annealed Langevin dynamics: a theoretical study

Patrick Cattiaux, Paula Cordero-Encinar, Arnaud Guillin

专题命中 扩散模型 ：diffusion(title,abstract)

GPDM: Generation-Prior Diffusion Model for Accelerated Direct Attenuation and Scatter Correction of Whole-body 18F-FDG PET

Min Jeong Cho, Hyeong Seok Shim, Sungyu Kim, Jae Sung Lee

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 25 pages, 10 figures

MicroLad: 2D-to-3D Microstructure Reconstruction and Generation via Latent Diffusion and Score Distillation

Kang-Hyun Lee, Faez Ahmed

机构 * Massachusetts Institute of Technology（麻省理工学院） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Convergence of Deterministic and Stochastic Diffusion-Model Samplers: A Simple Analysis in Wasserstein Distance

Eliot Beyler, Francis Bach

专题命中 扩散模型 ：diffusion(title,abstract)

Nonmonotonic diffusion in sheared active suspensions of squirmers

Zhouyang Ge, John F. Brady, Gwynn J. Elfring

专题命中 扩散模型 ：diffusion(title,abstract)

Comments Accepted for publication in Physical Review Letters

Front propagation into unstable states for periodic monotone reaction-diffusion systems

Liangliang Deng, Arnaud Ducrot, Quentin Griette

专题命中 扩散模型 ：diffusion(title,abstract)

DRUM: Diffusion-based runoff model for probabilistic flood forecasting

Zhigang Ou, Congyi Nai, Baoxiang Pan, Yi Zheng, Chaopeng Shen, Peishi Jiang, Xingcai Liu, Qiuhong Tang, Wenqing Li, Ming Pan

专题命中 扩散模型 ：diffusion(title,abstract)

Fair Diffusion Auctions

Zixin Gu, Yaoxin Ge, Yao Zhang, Dengji Zhao

专题命中 扩散模型 ：diffusion(title,abstract)

Caption, Create, Continue: Continual Learning with Pre-trained Generative Vision-Language Models

Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath Jayavelu

机构 * International Institute of Information Technology Bangalore (IIITB), India（国际信息技术研究所（班加罗尔）） ； Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore（信息与通信研究所（A*STAR）） 纠错

专题命中 扩散模型 ：generative vision(title)；diffusion(abstract)

Comments This is the revised and peer-reviewed version of our paper, accepted and published in the Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM 2025)

Journal ref Proc. 34th ACM International Conference on Information and Knowledge Management (CIKM), 2025

Simulator and Experience Enhanced Diffusion Model for Comprehensive ECG Generation

Xiaoda Wang, Kaiqiao Han, Yuhao Xu, Xiao Luo, Yizhou Sun, Wei Wang, Carl Yang

机构 * Emory University（埃默里大学） ； University of California, Los Angeles（加州大学洛杉矶分校） ； University of Wisconsin–Madison（威斯康星大学麦迪逊分校） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Bridging the Data Gap: Spatially Conditioned Diffusion Model for Anomaly Generation in Photovoltaic Electroluminescence Images

Shiva Hanifi, Sasan Jafarnejad, Marc Köntges, Andrej Wentnagel, Andreas Kokkas, Raphael Frank

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 8 pages, 4 figures

HeatGen: A Guided Diffusion Framework for Multiphysics Heat Sink Design Optimization

Hadi Keramati, Morteza Sadeghi, Rajeev K. Jaiman

机构 * Department of Mechanical Engineering（机械工程系） ； University of British Columbia（不列颠哥伦比亚大学） ； Institute for Nano- and Microfluidics（纳微流体研究所） ； Technical University of Darmstadt（德累斯顿技术大学） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

LayerPeeler: Autoregressive Peeling for Layer-wise Image Vectorization

Ronghuan Wu, Wanchao Su, Jing Liao

机构 * City University of Hong Kong（香港城市大学） ； Monash University（墨尔本大学） 纠错

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

Comments Project Page: https://layerpeeler.github.io/

Debiased Dual-Invariant Defense for Adversarially Robust Person Re-Identification

Yuhang Zhou, Yanxiang Zhao, Zhongyun Hua, Zhipu Liu, Zhaoquan Gu, Qing Liao, Leo Yu Zhang

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

Comments Accepted by AAAI 2026

Seeing the Unseen in Low-light Spike Streams

Liwen Hu, Yang Li, Mianzhi Liu, Yijia Guo, Shenghao Xie, Ziluo Ding, Tiejun Huang, Lei Ma

机构 * School of Computer Science, Peking University（北京大学计算机学院） ； National Biomedical Imaging Center, Peking University（北京大学国家生物医学成像中心） 纠错

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

ManipDreamer3D : Synthesizing Plausible Robotic Manipulation Video with Occupancy-aware 3D Trajectory

Ying Li, Xiaobao Wei, Xiaowei Chi, Yuming Li, Zhongyu Zhao, Hao Wang, Ningning Ma, Ming Lu, Sirui Han, Shanghang Zhang

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

Comments 7pages; 7figures; 3 tables

SphereDiff: Tuning-free 360° Static and Dynamic Panorama Generation via Spherical Latent Representation

Minho Park, Taewoong Kang, Jooyeol Yun, Sungwon Hwang, Jaegul Choo

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

Comments Accepted to AAAI 2026 (Oral)

Density Estimation and Crowd Counting

Balachandra Devarangadi Sunil, Rakshith Venkatesh, Shantanu Todmal

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

Operator Models for Continuous-Time Offline Reinforcement Learning

Nicolas Hoischen, Petar Bevanda, Max Beier, Stefan Sosnowski, Boris Houska, Sandra Hirche

机构 * TU Munich（慕尼黑工业大学） ； ShanghaiTech University（上海交通大学） 纠错

专题命中 扩散模型 ：diffusion(abstract)

Opinion: Towards Unified Expressive Policy Optimization for Robust Robot Learning

Haidong Huang, Haiyue Zhu. Jiayu Song, Xixin Zhao, Yaohua Zhou, Jiayi Zhang, Yuze Zhai, Xiaocong Li

机构 * Eastern Institute of Technology（东部技术研究所） ； University of Nottingham（诺丁汉大学） ； SIMTech, Agency for Science, Technology and Research (A*STAR)（SIMTech，科技研究局（A*STAR）） ； Southern University of Science and Technology（南方科技大学） 纠错

专题命中 扩散模型 ：diffusion(abstract)

Comments Accepted by NeurIPS 2025 Workshop on Embodied World Models for Decision Making

GraphSB: Boosting Imbalanced Node Classification on Graphs through Structural Balance

Chaofan Zhu, Xiaobing Rui, Zhixiao Wang

专题命中 扩散模型 ：diffusion(abstract)