图像生成

TridentServe: A Stage-level Serving System for Diffusion Pipelines

Yifei Xia, Fangcheng Fu, Hao Yuan, Hanke Zhang, Xupeng Miao, Yijun Liu, Suhan Ling, Jie Jiang, Bin Cui

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

Latent Diffusion Unlearning: Protecting Against Unauthorized Personalization Through Trajectory Shifted Perturbations

Naresh Kumar Devulapally, Shruti Agarwal, Tejas Gokhale, Vishnu Suresh Lokhande

机构 * University at Buffalo, The State University of New York（布法罗大学） ； Adobe Research（Adobe研究） ； University of Maryland, Baltimore County（马里兰大学巴尔的摩分校） 纠错

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

HopaDIFF: Holistic-Partial Aware Fourier Conditioned Diffusion for Referring Human Action Segmentation in Multi-Person Scenarios

Kunyu Peng, Junchao Huang, Xiangsheng Huang, Di Wen, Junwei Zheng, Yufan Chen, Kailun Yang, Jiamin Wu, Chongqing Hao, Rainer Stiefelhagen

机构 * Karlsruhe Institute of Technology（卡尔斯鲁厄理工学院） ； Beijing Institute of Technology（北京理工大学） ； Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所） ； Hunan University（湖南大学） ； Shanghai AI Lab（上海人工智能实验室） ； HEBUST 纠错

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

Comments Accepted to NeurIPS 2025. The dataset and code are available at https://github.com/KPeng9510/HopaDIFF

AlignDiT: Multimodal Aligned Diffusion Transformer for Synchronized Speech Generation

Jeongsoo Choi, Ji-Hoon Kim, Kim Sung-Bin, Tae-Hyun Oh, Joon Son Chung

机构 * Korea Advanced Institute of Science and Technology（韩国科学技术院） ； Pohang University of Science and Technology（釜山科学技术大学） 纠错

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

Comments ACM Multimedia 2025

GeoComplete: Geometry-Aware Diffusion for Reference-Driven Image Completion

Beibei Lin, Tingting Chen, Robby T. Tan

机构 * National University of Singapore（新加坡国立大学） 纠错

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

Comments Accepted by NeurIPS 2025. Project page: https://bb12346.github.io/GeoComplete/

UniVerse: Unleashing the Scene Prior of Video Diffusion Models for Robust Radiance Field Reconstruction

Jin Cao, Hongrui Wu, Ziyong Feng, Hujun Bao, Xiaowei Zhou, Sida Peng

机构 * State Key Lab of CAD&CG, Zhejiang University（CAD与CG国家重点实验室，浙江大学） ； Tongji University（同济大学） ； DeepGlint 纠错

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

Comments page: https://jin-cao-tma.github.io/UniVerse.github.io/ code: https://github.com/zju3dv/UniVerse

Random Walks with Tweedie: A Unified View of Score-Based Diffusion Models

Chicago Y. Park, Michael T. McCann, Cristina Garcia-Cardona, Brendt Wohlberg, Ulugbek S. Kamilov

机构 * Washington University in St. Louis（华盛顿大学圣路易斯分校） ； Los Alamos National Laboratory（洛斯阿拉莫斯国家实验室） 纠错

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

Journal ref IEEE Signal Processing Magazine, vol. 42, no. 3, pp. 40-51, May 2025

Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models

Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc L. Klasky, Jong Chul Ye

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

Comments 14 pages, 10 figures

Journal ref 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, BC, Canada, 2023, pp. 22542-22551

Diffusion Posterior Sampling for General Noisy Inverse Problems

Hyungjin Chung, Jeongsol Kim, Michael T. Mccann, Marc L. Klasky, Jong Chul Ye

机构 * KAIST（韩国科学技术院） ； Los Alamos National Laboratory（洛斯阿拉莫斯国家实验室） 纠错

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

Comments ICLR 2023 spotlight

Journal ref The Eleventh International Conference on Learning Representations (ICLR) 2023

Denoising and Augmentation: A Dual Use of Diffusion Model for Enhanced CSI Recovery

Yupeng Li, Ruhao Zhang, Yitong Liu, Chunju Shao, Jing Jin, Shijian Gao

专题命中 扩散模型 ：diffusion(title,abstract)

Comments This paper is formatted for an IEEE conference. It contains 4 figures and 2 tables. The source code is available at https://github.com/fhghwericge/Diffusion-Model-for-Enhanced-CSI-Recovery

DMark: Order-Agnostic Watermarking for Diffusion Large Language Models

Linyu Wu, Linhao Zhong, Wenjie Qu, Yuexin Li, Yue Liu, Shengfang Zhai, Chunhua Shen, Jiaheng Zhang

专题命中 扩散模型 ：diffusion(title,abstract)

Consolidating Reinforcement Learning for Multimodal Discrete Diffusion Models

Tianren Ma, Mu Zhang, Yibing Wang, Qixiang Ye

机构 * University of Chinese Academy of Sciences（中国科学院大学） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Comments Project Page: https://github.com/martian422/MaskGRPO

Self-supervised diffusion model fine-tuning for costate initialization using Markov chain Monte Carlo

Jannik Graebner, Ryne Beeson

机构 * PhD Student, Department of Mechanical and Aerospace Engineering, Princeton University, NJ, USA（普林斯顿大学机械与航空航天工程系博士生） ； Assistant Professor, Department of Mechanical and Aerospace Engineering, Princeton University, NJ, USA（普林斯顿大学机械与航空航天工程系助理教授） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

DiffuSpec: Unlocking Diffusion Language Models for Speculative Decoding

Guanghao Li, Zhihui Fu, Min Fang, Qibin Zhao, Ming Tang, Chun Yuan, Jun Wang

机构 * SIGS, Tsinghua University（清华大学信号与系统系） ； Southern University of Science and Technology（南方科技大学） ； OPPO Research Institute（OPPO研究院） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

SCOPED: Score-Curvature Out-of-distribution Proximity Evaluator for Diffusion

Brett Barkley, Preston Culbertson, David Fridovich-Keil

机构 * Department of Electrical and Computer Engineering（电气与计算机工程系） ； The University of Texas at Austin（德克萨斯大学奥斯汀分校） ； Department of Computer Science（计算机科学系） ； Cornell University（康奈尔大学） ； Department of Aerospace Engineering and Engineering Mechanics（航空航天工程与工程力学系） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Learning to Parallel: Accelerating Diffusion Large Language Models via Learnable Parallel Decoding

Wenrui Bao, Zhiben Chen, Dan Xu, Yuzhang Shang

机构 * University of Central Florida（中央佛罗里达大学） ； HKUST（香港科技大学） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Diffusion-aided Task-oriented Semantic Communications with Model Inversion Attack

Xuesong Wang, Mo Li, Xingyan Shi, Zhaoqian Liu, Shenghao Yang

机构 * School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Guangdong（科学与工程学院，香港中文大学（深圳）） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

A Malliavin-Gamma calculus approach to Score Based Diffusion Generative models for random fields

Giacomo Greco

机构 * Università degli studi di Roma Tor Vergata（罗马大学） 纠错

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 26 pages, amended typos and added a simulation of the forward noising process for the spherical fields example

On diffusion posterior sampling via sequential Monte Carlo for zero-shot scaffolding of protein motifs

James Matthew Young, O. Deniz Akyildiz

专题命中 扩散模型 ：diffusion(title,abstract)

Comments Published in Transactions on Machine Learning Research (09/2025). Reviewed on OpenReview: https://openreview.net/forum?id=KXRYY7iwqh

Score-based Diffusion Models for Bayesian Image Reconstruction

Michael T. McCann, Hyungjin Chung, Jong Chul Ye, Marc L. Klasky

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 5 pages, 3 figures

Journal ref 2023 IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, 2023, pp. 111-115

Wasserstein Bounds for generative diffusion models with Gaussian tail targets

Xixian Wang, Zhongjian Wang

机构 * Division of Mathematical Sciences, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore（数学科学系，物理与数学科学学院，南洋理工大学，新加坡） 纠错

专题命中 扩散模型 ：diffusion(title)

Comments We update the preprint due to a gap in the proof found by Eliot Beyler and Francis Bach in their prerint (arXiv:2508.03210). The assumptions and the main complexity bounds remain unchanged

Plug-and-Play Priors as a Score-Based Method

Chicago Y. Park, Yuyang Hu, Michael T. McCann, Cristina Garcia-Cardona, Brendt Wohlberg, Ulugbek S. Kamilov

机构 * Washington University in St. Louis（华盛顿大学圣路易斯分校） ； Los Alamos National Laboratory（洛斯阿拉莫斯国家实验室） 纠错

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

Journal ref 2025 IEEE International Conference on Image Processing (ICIP), Anchorage, AK, USA, 2025, pp. 49-54

RACCooN: A Versatile Instructional Video Editing Framework with Auto-Generated Narratives

Jaehong Yoon, Shoubin Yu, Mohit Bansal

机构 * UNC Chapel Hill（北卡罗来纳大学教堂山分校） ； Nanyang Technological University（南洋理工大学） 纠错

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

Comments EMNLP 2025 main; The first two authors contribute equally. Project Page: https://raccoon-mllm-gen.github.io/

Memory Forcing: Spatio-Temporal Memory for Consistent Scene Generation on Minecraft

Junchao Huang, Xinting Hu, Boyao Han, Shaoshuai Shi, Zhuotao Tian, Tianyu He, Li Jiang

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

Comments 19 pages, 8 figures

Input-Aware Sparse Attention for Real-Time Co-Speech Video Generation

Beijia Lu, Ziyi Chen, Jing Xiao, Jun-Yan Zhu

机构 * Carnegie Mellon University（卡内基梅隆大学） ； PAII Inc.（PAII公司） 纠错

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

Comments Project Page: https://beijia11.github.io/IASA

Deciphering the radio-star formation correlation on kpc scales. IV. Radio halos of highly-inclined Virgo cluster spiral galaxies

B. Vollmer, M. Soida, V. Heesen

专题命中 扩散模型 ：diffusion(abstract)

Comments accepted for publication in A&A

Long-Time Analysis of Stochastic Heavy Ball Dynamics for Convex Optimization and Monotone Equations

Radu Ioan Bot, Chiara Schindler

专题命中 扩散模型 ：diffusion(abstract)

Stationarity preserving nodal Finite Element methods for multi-dimensional linear hyperbolic balance laws via a Global Flux quadrature formulation

Wasilij Barsukow, Mario Ricchiuto, Davide Torlo

专题命中 扩散模型 ：diffusion(abstract)

Flamed-TTS: Flow Matching Attention-Free Models for Efficient Generating and Dynamic Pacing Zero-shot Text-to-Speech

Hieu-Nghia Huynh-Nguyen, Huynh Nguyen Dang, Ngoc-Son Nguyen, Van Nguyen

专题命中 扩散模型 ：diffusion(abstract)

TeV Emission from PSR B1055-52 with HESS: Evidence for a Pulsar Halo

Tina Wach, Alison M. W. Mitchell

专题命中 扩散模型 ：diffusion(abstract)

Comments 8 pages, 3 figures, 2 tables. ICRC 2025 conference procceeding

Journal ref PoS(ICRC2025)874