图像生成

PCDiff: Proactive Control for Ownership Protection in Diffusion Models with Watermark Compatibility

Keke Gai, Ziyue Shen, Jing Yu, Liehuang Zhu, Qi Wu

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

Quantum Generative Models for Image Generation: Insights from MNIST and MedMNIST

Chi-Sheng Chen, Wei An Hou, Hsiang-Wei Hu, Zhen-Sheng Cai

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

OccludeNeRF: Geometric-aware 3D Scene Inpainting with Collaborative Score Distillation in NeRF

Jingyu Shi, Achleshwar Luthra, Jiazhi Li, Xiang Gao, Xiyun Song, Zongfang Lin, David Gu, Heather Yu

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

Comments CVPR 2025 CV4Metaverse

Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion

Bac Nguyen, Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Stefano Ermon, Yuki Mitsufuji

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

Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation

Kim Yong Tan, Yueming Lyu, Ivor Tsang, Yew-Soon Ong

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

Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization

Zexi Li, Lingzhi Gao, Chao Wu

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

Comments Preprint

An extended Krylov subspace method for decoding edge-based compressed images by homogeneous diffusion

Volker Grimm, Kevin Liang

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

Glauber Generative Model: Discrete Diffusion Models via Binary Classification

Harshit Varma, Dheeraj Nagaraj, Karthikeyan Shanmugam

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

Comments ICLR 2025

Voltage-Controlled Magnetoelectric Devices for Neuromorphic Diffusion Process

Yang Cheng, Qingyuan Shu, Albert Lee, Haoran He, Ivy Zhu, Minzhang Chen, Renhe Chen, Zirui Wang, Hantao Zhang, Chih-Yao Wang, Shan-Yi Yang, Yu-Chen Hsin, Cheng-Yi Shih, Hsin-Han Lee, Ran Cheng, Kang L. Wang

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

AnyMoLe: Any Character Motion In-betweening Leveraging Video Diffusion Models

Kwan Yun, Seokhyeon Hong, Chaelin Kim, Junyong Noh

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

Comments 11 pages, 10 figures, CVPR 2025

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward

Zhiwei Jia, Yuesong Nan, Huixi Zhao, Gengdai Liu

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

Comments CVPR 2025

DiffSG: A Generative Solver for Network Optimization with Diffusion Model

Ruihuai Liang, Bo Yang, Zhiwen Yu, Bin Guo, Xuelin Cao, Mérouane Debbah, H. Vincent Poor, Chau Yuen

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

Comments Accepted by IEEE Communications Magazine

FRMD: Fast Robot Motion Diffusion with Consistency-Distilled Movement Primitives for Smooth Action Generation

Xirui Shi, Jun Jin

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

Comments arXiv admin note: text overlap with arXiv:2406.01586 by other authors

Learning Mixtures of Gaussians Using Diffusion Models

Khashayar Gatmiry, Jonathan Kelner, Holden Lee

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

The Superposition of Diffusion Models Using the Itô Density Estimator

Marta Skreta, Lazar Atanackovic, Avishek Joey Bose, Alexander Tong, Kirill Neklyudov

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

Comments Accepted as a Spotlight Presentation at the International Conference on Learning Representations 2025

Diffusion-HMC: Parameter Inference with Diffusion-model-driven Hamiltonian Monte Carlo

Nayantara Mudur, Carolina Cuesta-Lazaro, Douglas P. Finkbeiner

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

Comments Published in ApJ, Updated with the accepted version

Journal ref The Astrophysical Journal, 978:64 (14pp), 2025

I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models

Zhenxing Mi, Kuan-Chieh Wang, Guocheng Qian, Hanrong Ye, Runtao Liu, Sergey Tulyakov, Kfir Aberman, Dan Xu

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

Comments Project page: https://mizhenxing.github.io/ThinkDiff, 19 pages, 14 figures

Noise Matters: Diffusion Model-based Urban Mobility Generation with Collaborative Noise Priors

Yuheng Zhang, Yuan Yuan, Jingtao Ding, Jian Yuan, Yong Li

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

Variational Schrödinger Momentum Diffusion

Kevin Rojas, Yixin Tan, Molei Tao, Yuriy Nevmyvaka, Wei Deng

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

Comments AISTATS 25

DPCL-Diff: The Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning

Yukun Cao, Lisheng Wang, Luobin Huang

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

Comments 11 pages, 2 figures

Generative diffusion model with inverse renormalization group flows

Kanta Masuki, Yuto Ashida

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

Comments 9+21 pages, 4+11 figures. The code and trained models are available at https://github.com/kantamasuki/RGDM

CDDIP: Constrained Diffusion-Driven Deep Image Prior for Seismic Image Reconstruction

Paul Goyes-Peñafiel, Ulugbek Kamilov, Henry Arguello

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

Comments 5 pages, 4 figures, 3 tables. Submitted to geoscience and remote sensing letters

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks

Xuanhao Luo, Zhizhen Li, Zhiyuan Peng, Mingzhe Chen, Yuchen Liu

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

Comments Accepted for publication in the IEEE Transactions on Cognitive Communications and Networking (TCCN)

Markov spin models for image generation : explicit large deviations with respect to the number of pixels

Cecile Monthus

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

Comments v2= revised version with new discussions and some new material (30 pages)

Journal ref J. Stat. Mech. (2025) 013205

Color Correction Meets Cross-Spectral Refinement: A Distribution-Aware Diffusion for Underwater Image Restoration

Laibin Chang, Yunke Wang, Bo Du, Chang Xu

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

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems

Shayan Mohajer Hamidi, En-Hui Yang

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

Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery

Payal Varshney, Adriano Lucieri, Christoph Balada, Andreas Dengel, Sheraz Ahmed

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

Comments Published at International Conference on Pattern Recognition (ICPR) 2024

AdvAnchor: Enhancing Diffusion Model Unlearning with Adversarial Anchors

Mengnan Zhao, Lihe Zhang, Xingyi Yang, Tianhang Zheng, Baocai Yin

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

Quantum Diffusion Model for Quark and Gluon Jet Generation

Mariia Baidachna, Rey Guadarrama, Gopal Ramesh Dahale, Tom Magorsch, Isabel Pedraza, Konstantin T. Matchev, Katia Matcheva, Kyoungchul Kong, Sergei Gleyzer

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

Comments Accepted for the NeurIPS 2024 MLNCP workshop

Solving Inverse Problems via Diffusion Optimal Control

Henry Li, Marcus Pereira

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

Comments Presented at NeurIPS 2024