图像生成

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets

Dale Decatur, Thibault Groueix, Wang Yifan, Rana Hanocka, Vladimir Kim, Matheus Gadelha

机构 * University of Chicago（芝加哥大学） ； Adobe Research（Adobe研究） 纠错

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

Comments ICCV 2025. Project page: https://ddecatur.github.io/hierarchical-diffusion/

When Image Generation Goes Wrong: A Safety Analysis of Stable Diffusion Models

Matthias Schneider, Thilo Hagendorff

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

SDiFL: Stable Diffusion-Driven Framework for Image Forgery Localization

Yang Su, Shunquan Tan, Jiwu Huang

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

Unlearning Concepts from Text-to-Video Diffusion Models

Shiqi Liu, Yihua Tan

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

Evaluating Compositional Generalisation in VLMs and Diffusion Models

Beth Pearson, Bilal Boulbarss, Michael Wray, Martha Lewis

机构 * University of Bristol（布里斯托大学） ； University of Amsterdam（阿姆斯特丹大学） 纠错

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

Comments 11 pages including references, 6 figures. Accepted at IWCS 2025

FastFit: Accelerating Multi-Reference Virtual Try-On via Cacheable Diffusion Models

Zheng Chong, Yanwei Lei, Shiyue Zhang, Zhuandi He, Zhen Wang, Xujie Zhang, Xiao Dong, Yiling Wu, Dongmei Jiang, Xiaodan Liang

机构 * Sun Yat-sen University（中山大学） ； LavieAI ； Pengcheng Laboratory（鹏城实验室） 纠错

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

Comments 16 pages, 10 figures, 5 tables

Susceptibility Distortion Correction of Diffusion MRI with a single Phase-Encoding Direction

Sedigheh Dargahi, Sylvain Bouix, Christian Desrosiers

机构 * École de technologie supérieure 纠错

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

From Promise to Practical Reality: Transforming Diffusion MRI Analysis with Fast Deep Learning Enhancement

Xinyi Wang, Michael Barnett, Frederique Boonstra, Yael Barnett, Mariano Cabezas, Arkiev D'Souza, Matthew C. Kiernan, Kain Kyle, Meng Law, Lynette Masters, Zihao Tang, Stephen Tisch, Sicong Tu, Anneke Van Der Walt, Dongang Wang, Fernando Calamante, Weidong Cai, Chenyu Wang

机构 * Sydney Neuroimaging Analysis Center（悉尼神经影像分析中心） 纠错

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

Comments 24 pages, 5 figures

Inference-Time Alignment Control for Diffusion Models with Reinforcement Learning Guidance

Luozhijie Jin, Zijie Qiu, Jie Liu, Zijie Diao, Lifeng Qiao, Ning Ding, Alex Lamb, Xipeng Qiu

专题命中 扩散模型 ：diffusion(title,abstract)

Anomalous diffusion and run-and-tumble motion of a chemotactic particle in low dimensions

Jacopo Romano, Andrea Gambassi

专题命中 扩散模型 ：diffusion(title,abstract)

Equilibria of aggregation-diffusion models with nonlinear potentials

Francesco Bozzola, Edoardo Mainini

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 37 pages

Run-and-tumble particle with diffusion: boundary local times and the zero-diffusion limit

Paul C Bressloff

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 23 pages, 3 figures

Using Diffusion Models to do Data Assimilation

Daniel Hodyss, Matthias Morzfeld

专题命中 扩散模型 ：diffusion(title,abstract)

Extreme Learning Machine for the Characterization of Anomalous Diffusion from Single Trajectories (AnDi-ELM)

Carlo Manzo

专题命中 扩散模型 ：diffusion(title,abstract)

Comments 18 pages, 7 figures. Author's Accepted Manuscript of a published article in J. Phys. A: Math. Theor. 54: 334002 (2021). https://doi.org/10.1088/1751-8121/ac13dd

Journal ref J. Phys. A: Math. Theor. 54, 334002 (2021)

Numerical Method for Space-Time Fractional Diffusion: A Stochastic Approach

Tengteng Cui, Chengtao Sheng, Bihao Su, Zhi Zhou

专题命中 扩散模型 ：diffusion(title,abstract)

Agent-based model of information diffusion in the limit order book trading

Mateusz Wilinski, Juho Kanniainen

专题命中 扩散模型 ：diffusion(title)

Comments 9 pages, 3 figures

Physics Informed Generative Models for Magnetic Field Images

Aye Phyu Phyu Aung, Lucas Lum, Zhansen Shi, Wen Qiu, Bernice Zee, JM Chin, Yeow Kheng Lim, J. Senthilnath

机构 * Institute for Infocomm Research (I$^{2}$R), A*STAR, Singapore（信息通信研究所（I²R）、A*STAR，新加坡） ； Department of Electrical Engineering, National University of Singapore, Singapore（电气工程系、新加坡国立大学，新加坡） ； Device Analysis Lab, Advanced Micro Devices (Singapore) Pte Ltd, Singapore（设备分析实验室、Advanced Micro Devices（新加坡）有限公司，新加坡） 纠错

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

First-Place Solution to NeurIPS 2024 Invisible Watermark Removal Challenge

Fahad Shamshad, Tameem Bakr, Yahia Shaaban, Noor Hussein, Karthik Nandakumar, Nils Lukas

机构 * Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)（Mohamed bin Zayed大学人工智能学院） ； Michigan State University (MSU)（密歇根州立大学） 纠错

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

Comments Winning solution to the NeurIPS 2024 Erasing the Invisible challenge

Dress&Dance: Dress up and Dance as You Like It - Technical Preview

Jun-Kun Chen, Aayush Bansal, Minh Phuoc Vo, Yu-Xiong Wang

机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； SpreeAI 纠错

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

Comments Project Page: https://immortalco.github.io/DressAndDance/

Amadeus: Autoregressive Model with Bidirectional Attribute Modelling for Symbolic Music

Hongju Su, Ke Li, Lan Yang, Honggang Zhang, Yi-Zhe Song

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

Comments Under review

Ego-centric Predictive Model Conditioned on Hand Trajectories

Binjie Zhang, Mike Zheng Shou

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

Comments Code: github.com/showlab/Ego-PM

DanceGRPO: Unleashing GRPO on Visual Generation

Zeyue Xue, Jie Wu, Yu Gao, Fangyuan Kong, Lingting Zhu, Mengzhao Chen, Zhiheng Liu, Wei Liu, Qiushan Guo, Weilin Huang, Ping Luo

机构 * The University of Hong Kong（香港大学） 纠错

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

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

GeoTexBuild: 3D Building Model Generation from Map Footprints

Ruizhe Wang, Junyan Yang, Qiao Wang

机构 * Southeast University（东南大学） 纠错

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

Comments 13 pages, 14 figures

Audio-Guided Visual Editing with Complex Multi-Modal Prompts

Hyeonyu Kim, Seokhoon Jeong, Seonghee Han, Chanhyuk Choi, Taehwan Kim

机构 * MAUM AI Inc.（MAUM AI公司） ； Artificial Intelligence Graduate School UNIST（UNIST人工智能研究生学院） 纠错

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

Comments Accepted to BMVC 2025

Random attractors and nonergodic attractors for diffusions with degeneracies

Yuri Bakhtin, Renaud Raquépas, Lai-Sang Young

专题命中 扩散模型 ：diffusion(abstract)

Leveraging Discriminative Latent Representations for Conditioning GAN-Based Speech Enhancement

Shrishti Saha Shetu, Emanuël A. P. Habets, Andreas Brendel

专题命中 扩散模型 ：diffusion(abstract)

Comments This manuscript has been submitted to IEEE Transactions on Audio, Speech and Language Processing

Uniform error analysis of a rectangular Morley finite element method on a Shishkin mesh for a 4th-order singularly perturbed boundary value problem

Xiangyun Meng, Martin Stynes

专题命中 扩散模型 ：diffusion(abstract)

Distinct Spatiotemporal Dynamics of Thermoelectric Transport Across Superconducting Transition

Rajae Malek, Qing-Dong Jiang, Haiwen Liu

专题命中 扩散模型 ：diffusion(abstract)

Prediction of sulphate hazes in the lower Venus atmosphere

Peter Woitke, Manuel Scherf, Christiane Helling, Paul B. Rimmer, Martin Ferus, Helmut Lammer, Fabian Weichbold, Kateřina Němečková, Petr Eminger, Jaroslav Kačina, Tereza Constantinou

专题命中 扩散模型 ：diffusion(abstract)

Comments 18 pages, accepted by PSJ on 27-Aug-2025

On the orbital variability of gamma-ray emission in $γ^2$ Velorum

Agnibha De Sarkar

专题命中 扩散模型 ：diffusion(abstract)

Comments 9 pages, 3 figures, 2 tables; accepted for publication in Astronomy & Astrophysics (A&A)

Journal ref A&A 701, A18 (2025)