Key papers

• Diffusion Posterior Sampling for General Noisy Inverse Problems (2022)
  Hyungjin Chung et al.
  11.59
• Diffusion Models: A Comprehensive Survey of Methods and Applications (2022)
  Ling Yang et al.
  11.56
• Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models (2025)
  Jinjin Zhang et al.
  9.98
• DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models (2023)
  Ximing Xing et al.
  8.82
• One-step Diffusion Models with $f$-Divergence Distribution Matching (2025)
  Yilun Xu et al.
  8.65
• Contrastive Flow Matching (2025)
  George Stoica et al.
  8.18
• Attention Distillation: A Unified Approach to Visual Characteristics Transfer (2025)
  Yang Zhou et al.
  7.96
• Latent Space Super-Resolution for Higher-Resolution Image Generation with Diffusion Models (2025)
  Jinho Jeong et al.
  7.77
• Diffusion models for inverse problems (2025)
  Hyungjin Chung et al.
  7.77
• A Review on Generative AI For Text-To-Image and Image-To-Image Generation and Implications To Scientific Images (2025)
  Zineb Sordo and Eric Chagnon and Daniela Ushizima
  7.58
• Generative Modeling via Drifting (2026)
  Mingyang Deng et al.
  7.41
• Explicit Layer Modeling for Video Object Insertion and Layer Decomposition (2026)
  Kyujin Han et al.
  7.37
• Glance: Accelerating Diffusion Models with 1 Sample (2025)
  Zhuobai Dong et al.
  6.83
• GrainPaint: A multi-scale diffusion-based generative model for microstructure reconstruction of large-scale objects (2025)
  Nathan Hoffman and Cashen Diniz and Dehao Liu and Theron Rodgers and Anh Tran and Mark Fuge
  6.63
• Arbitrary-steps Image Super-resolution via Diffusion Inversion (2024)
  Zongsheng Yue et al.
  6.61
• Riemannian Denoising Diffusion Probabilistic Models (2025)
  Zichen Liu et al.
  6.53
• Diffusion Model-Based Image Editing: A Survey (2024)
  Yi Huang et al.
  5.97
• Automated Tuning for Diffusion Inverse Problem Solvers without Generative Prior Retraining (2025)
  Ya\c{s}ar Utku Al\c{c}alar et al.
  5.93
• Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling (2025)
  Haochen You et al.
  5.87
• Repurposing 2D Diffusion Models with Gaussian Atlas for 3D Generation (2025)
  Tiange Xiang et al.
  5.59
• Training-Free Debiasing of Diffusion Models via CLIP-Guided Denoising Optimization (2026)
  Dain Kim et al.
  5.49
• AVSR-Diff: Scale-Agnostic Diffusion Priors for Temporally Consistent Arbitrary-Scale Video Super-Resolution (2026)
  Geunhyuk Youk et al.
  5.49
• PE-Field 4D: Video Generation Models as Canvas (2026)
  Yunpeng Bai et al.
  5.49
• Diffusion-based Perceptual Neural Video Compression with Temporal Diffusion Information Reuse (2025)
  Wenzhuo Ma and Zhenzhong Chen
  5.48
• A Wavelet Diffusion GAN for Image Super-Resolution (2024)
  Lorenzo Aloisi and Luigi Sigillo and Aurelio Uncini and Danilo Comminiello
  5.37
• Removing Structured Noise with Diffusion Models (2023)
  Tristan S.W. Stevens et al.
  5.30
• Generative modelling with jump-diffusions (2025)
  Adrian Baule
  5.24
• Diffusion Image Prior (2025)
  Hamadi Chihaoui and Paolo Favaro
  5.24
• Diffusion Models and Representation Learning: A Survey (2024)
  Michael Fuest et al.
  5.20
• Prior laundering: learned priors with inherited, undetectable overconfidence (2026)
  Ali Siahkoohi et al.
  5.01
• Diffusion Models in Medical Image Inpainting: Challenges, Solution Taxonomy, and Future Directions (2026)
  Arthur Dantas Mangussi et al.
  5.01
• Spectral Prior for Reducing Exposure Bias in Diffusion Models (2026)
  Yuya Kobayashi et al.
  5.01
• InnoText: A Unified Model for Visual Text Generation and Editing (2026)
  Haowei Liu et al.
  5.01
• TRaM-VSR: Importance-Aware Token Routing and Merging for One-Step Diffusion Video Super-Resolution (2026)
  Sicheng Gao et al.
  5.01
• AgentHOI: Multi-Agent Reasoning for Human-Object-Interaction Video Generation via Implicit Representation Alignment (2026)
  Ziyao Huang et al.
  5.01
• fMRI2Face: A Full-HD fMRI-Video Dataset and Geometry-Guided Neural Decoding Framework for Dynamic Human Face Reconstruction (2026)
  Jingyang Huo et al.
  5.01
• Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models (2026)
  Yebin Zheng et al.
  5.01
• Twins: Learn to Predict Unified Representations with Focal Loss (2026)
  Kaixiong Gong et al.
  5.01
• VideoRAE: Taming Video Foundation Models for Generative Modeling via Representation Autoencoders (2026)
  Zhihao Xie et al.
  5.00
• Projected Coupled Diffusion for Test-Time Constrained Joint Generation (2025)
  Hao Luan et al.
  4.97
• Stochastic Thermodynamics and SDE-based Generative Models (2026)
  Yaowen Zhang
  4.95
• Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers (2024)
  Katherine Crowson and Stefan Andreas Baumann and Alex Birch and Tanishq Mathew Abraham and Daniel Z. Kaplan and Enrico Shippole
  4.90
• Studying Image Diffusion Features for Zero-Shot Video Object Segmentation (2025)
  Thanos Delatolas et al.
  4.87
• SupResDiffGAN a new approach for the Super-Resolution task (2025)
  Dawid Kope\'c et al.
  4.87
• GenDR: Lighten Generative Detail Restoration (2025)
  Yan Wang et al.
  4.82
• Learning Diffusion Priors from Observations by Expectation Maximization (2024)
  Fran\c{c}ois Rozet et al.
  4.74
• LS-GAN: Human Motion Synthesis with Latent-space GANs (2025)
  Avinash Amballa et al.
  4.71
• Enhancing Fetal Plane Classification Accuracy with Data Augmentation Using Diffusion Models (2025)
  Yueying Tian et al.
  4.71
• CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching (2025)
  Chen Chen et al.
  4.61
• MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation (2025)
  Mingcheng Li et al.
  4.42
• A Mathematical Introduction to Diffusion Models (2026)
  Jianfeng Lu
  4.39
• Fast determinantal sampling on general spaces and diffusion geometry (2026)
  Hoang-Son Tran et al.
  4.39
• Generative Diffusion Models of Stochastic Graph Signals (2026)
  Yi\u{g}it Berkay Uslu et al.
  4.39
• An Hybrid Quantum-Classical Diffusion Model for Image Generation (2026)
  Qipeng Qian et al.
  4.39
• DiffCVE: Diffusion-based Compressed Video Enhancement (2026)
  Wenqiang Xiao et al.
  4.39
• Selective Timestep Weighting and Advantage-Based Replay for Sample-Efficient Diffusion RLHF (2026)
  Eric Zhu et al.
  4.39
• ReGen: Hierarchical Multi-Prompt Representation Generation for Efficient Waveform Diffusion Models (2026)
  Sang-Hoon Lee et al.
  4.39
• Autoregressive latent diffusion for 3D molecule generation (2026)
  Federico Ottomano et al.
  4.39
• FM$^2$: Unified Federated Foundation Models for Heterogeneous Multimodal Medical Imaging (2026)
  Shengchao Chen et al.
  4.39
• Adaptive Multi-Step Lookahead Decoding for Diffusion Language Models (2026)
  Yingqian Cui et al.
  4.39