Awesome Diffusion Models

Key papers

• Diffusion Posterior Sampling for General Noisy Inverse Problems (2022)
  Hyungjin Chung et al.
  11.59
• Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis (2025)
  Bingxin Ke et al.
  10.47
• Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models (2025)
  Jinjin Zhang et al.
  10.03
• Reflect-DiT: Inference-Time Scaling for Text-to-Image Diffusion Transformers via In-Context Reflection (2025)
  Shufan Li et al.
  9.29
• RepFusion: Leveraging Multimodal Priors for Denoising in Representation Space (2026)
  Xichen Pan et al.
  8.86
• Learning Few-Step Diffusion Models by Trajectory Distribution Matching (2025)
  Yihong Luo et al.
  8.84
• 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.
  8.70
• UniCombine: Unified Multi-Conditional Combination with Diffusion Transformer (2025)
  Haoxuan Wang et al.
  8.49
• Contrastive Flow Matching (2025)
  George Stoica et al.
  8.23
• Diffusion models for inverse problems (2025)
  Hyungjin Chung et al.
  7.83
• Latent Space Super-Resolution for Higher-Resolution Image Generation with Diffusion Models (2025)
  Jinho Jeong et al.
  7.82
• 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
  7.64
• Generative Modeling via Drifting (2026)
  Mingyang Deng et al.
  7.47
• CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer (2024)
  Zhuoyi Yang et al.
  7.30
• Attention Distillation: A Unified Approach to Visual Characteristics Transfer (2025)
  Yang Zhou et al.
  7.19
• Bolt3D: Generating 3D Scenes in Seconds (2025)
  Stanislaw Szymanowicz and Jason Y. Zhang and Pratul Srinivasan and Ruiqi Gao and Arthur Brussee and Aleksander Holynski and Ricardo Martin-Brualla and Jonathan T. Barron and Philipp Henzler
  6.92
• Glance: Accelerating Diffusion Models with 1 Sample (2025)
  Zhuobai Dong et al.
  6.89
• Arbitrary-steps Image Super-resolution via Diffusion Inversion (2024)
  Zongsheng Yue et al.
  6.61
• Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation (2023)
  David Junhao Zhang et al.
  6.55
• 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
  6.23
• Latte: Latent Diffusion Transformer for Video Generation (2024)
  Xin Ma et al.
  6.11
• Automated Tuning for Diffusion Inverse Problem Solvers without Generative Prior Retraining (2025)
  Ya\c{s}ar Utku Al\c{c}alar et al.
  5.98
• Diffusion Model-Based Image Editing: A Survey (2024)
  Yi Huang et al.
  5.97
• Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling (2025)
  Haochen You et al.
  5.93
• Holding the FP8 Quality Ceiling at 8-Bit Weights and Activations: INT8 and GGUF Post-Training Quantization of Ideogram 4.0 for Consumer GPUs (2026)
  Deep Gandhi et al.
  5.49
• Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation (2024)
  Hongxu Jiang et al.
  5.40
• 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
  5.29
• Diffusion Image Prior (2025)
  Hamadi Chihaoui and Paolo Favaro
  5.29
• Diffusion Models and Representation Learning: A Survey (2024)
  Michael Fuest et al.
  5.20
• Projected Coupled Diffusion for Test-Time Constrained Joint Generation (2025)
  Hao Luan et al.
  5.03
• Efficient On-Device Diffusion LLM Inference with Mobile NPU (2026)
  Tuowei Wang et al.
  5.01
• XRDiff: Crystal Structure Prediction from Powder X-Ray Diffraction Data Using Diffusion Models (2026)
  Nofit Segal et al.
  5.01
• Local Coverage Governs Memorization in Diffusion Models (2026)
  Claudia Merger et al.
  5.01
• Studying Image Diffusion Features for Zero-Shot Video Object Segmentation (2025)
  Thanos Delatolas et al.
  4.93
• SupResDiffGAN a new approach for the Super-Resolution task (2025)
  Dawid Kope\'c et al.
  4.93
• 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
• GenDR: Lighten Generative Detail Restoration (2025)
  Yan Wang et al.
  4.87
• Diffusion as Shader: 3D-aware Video Diffusion for Versatile Video Generation Control (2025)
  Zekai Gu et al.
  4.76
• Enhancing Fetal Plane Classification Accuracy with Data Augmentation Using Diffusion Models (2025)
  Yueying Tian et al.
  4.76
• Learning Diffusion Priors from Observations by Expectation Maximization (2024)
  Fran\c{c}ois Rozet et al.
  4.74
• CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching (2025)
  Chen Chen et al.
  4.66
• Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think (2024)
  Sihyun Yu et al.
  4.60
• Zero Shot Molecular Generation via Similarity Kernels (2024)
  Rokas Elijo\v{s}ius et al.
  4.57
• SINE: SINgle Image Editing with Text-to-Image Diffusion Models (2022)
  Zhixing Zhang et al.
  4.48
• PhytoSynth: Leveraging Multi-modal Generative Models for Crop Disease Data Generation with Novel Benchmarking and Prompt Engineering Approach (2025)
  Nitin Rai et al.
  4.47
• MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation (2025)
  Mingcheng Li et al.
  4.47
• Image-to-Image Translation with Diffusion Transformers and CLIP-Based Image Conditioning (2025)
  Qiang Zhu et al.
  4.47
• Diffusion models applied to skin and oral cancer classification (2025)
  Jos\'e J. M. Uliana et al.
  4.42
• LoMC: Localized Multidirectional Correction for Refusal Suppression in Routed Foundation Models (2026)
  Yan Hong et al.
  4.39
• CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation (2026)
  Sharath Girish et al.
  4.39
• Diffusion Policy Optimization without Drifting Apart (2026)
  Haozhe Jiang et al.
  4.39
• Recursively Trained Diffusion Models: Limiting Collapse Distribution and Spectral Characterization (2026)
  Na\"il B. Khelifa et al.
  4.39
• Compressing Image Style Training into a Single Model Forward (2026)
  Zhongjie Duan et al.
  4.39
• Temporal Backtracking Search for Test-time Generative Video Reasoning (2026)
  Sejoon Jun et al.
  4.39
• Mirage Probes: How Vision Models Fake Visual Understanding (2026)
  Daniel Ben-Levi et al.
  4.39
• How do Self-Supervised Remote Sensing Vision Models Transfer to Downstream Tasks? (2026)
  Julia Romero et al.
  4.39
• Smoothing Dark Areas in Molecular Latent Diffusion (2026)
  Xi Wang et al.
  4.39