Diffusion Models papers, 2023–2026

Key findings

• Diffusion Models went from 660 papers in 2023 to 2,691 in 2026, roughly 4.1x in three years.
• NeurIPS publishes the most Diffusion Models work: 2,202 papers from 2023 to 2026, 32% of the four-venue total.
• The fastest-growing overlap is with Applications · chemistry physics and earth sciences: papers tagged with both rose from 14 in 2023 to 163 in 2026.
• Among the 11 topics under Deep Learning, it ranks #1 by 2026 paper count; the fastest grower in the group, Deep learning · foundation models, is up 2.5x versus 4.1x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026$\mathbf{D^{3}S^{2}}$: Diffusion-Guided Dataset Distillation for Semantic Segmentation
• ICML 2026“Do Diffusion Models Dream of Electric Planes?” Discrete and Continuous Simulation-Based Inference for Aircraft Design
• ICLR 2026$\alpha$-DPO: Robust Preference Alignment for Diffusion Models via $\alpha$ Divergence
• CVPR 20262ndMatch Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching
• NeurIPS 2025$\text{S}^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation
• ICML 2025A First-order Generative Bilevel Optimization Framework for Diffusion Models
• ICLR 2025$\text{I}^2\text{AM}$: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps
• CVPR 20253DEnhancer: Consistent Multi-View Diffusion for 3D Enhancement
• NeurIPS 2024$\text{Di}^2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation
• ICML 2024A Dense Reward View on Aligning Text-to-Image Diffusion with Preference
• ICLR 2024$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States
• CVPR 2024D^4: Dataset Distillation via Disentangled Diffusion Model
• NeurIPS 20233D molecule generation by denoising voxel grids
• ICML 2023A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification
• ICLR 2023(Certified!!) Adversarial Robustness for Free!
• CVPR 20233D Neural Field Generation Using Triplane Diffusion
• NeurIPS 2026$\text{PartConcepts}$: A Unified Mechanism for Fine-Grained Part Localization and Generation
• ICML 2026$\sigma$: Sigmoid Modulation for Ultra High Resolution Diffusion
• ICLR 2026$\textit{MADFormer}$: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation
• CVPR 20263D-LATTE Latent Space 3D Editing from Textual Instructions

All Diffusion Models papers

109 papers, page 2 of 3

51. ICML 2023Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions
52. ICML 2023Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs
53. ICML 2023Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process
54. ICML 2023InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
55. ICML 2023Input Perturbation Reduces Exposure Bias in Diffusion Models
56. ICML 2023KDEformer: Accelerating Transformers via Kernel Density Estimation
57. ICML 2023Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling
58. ICML 2023Long Horizon Temperature Scaling
59. ICML 2023Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation
60. ICML 2023Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models
61. ICML 2023MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL
62. ICML 2023Minimizing Trajectory Curvature of ODE-based Generative Models
63. ICML 2023Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion
64. ICML 2023MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation
65. ICML 2023MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation
66. ICML 2023Multisample Flow Matching: Straightening Flows with Minibatch Couplings
67. ICML 2023NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion
68. ICML 2023Neural Diffusion Processes
69. ICML 2023Non-autoregressive Conditional Diffusion Models for Time Series Prediction
70. ICML 2023Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows
71. ICML 2023OCD: Learning to Overfit with Conditional Diffusion Models
72. ICML 2023OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
73. ICML 2023On Investigating the Conservative Property of Score-Based Generative Models
74. ICML 2023On the Convergence of Gradient Flow on Multi-layer Linear Models
75. ICML 2023One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
76. ICML 2023Optimizing DDPM Sampling with Shortcut Fine-Tuning
77. ICML 2023PAC-Bayesian Generalization Bounds for Adversarial Generative Models
78. ICML 2023PFGM++: Unlocking the Potential of Physics-Inspired Generative Models
79. ICML 2023PixelAsParam: A Gradient View on Diffusion Sampling with Guidance
80. ICML 2023PLay: Parametrically Conditioned Layout Generation using Latent Diffusion
81. ICML 2023Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows
82. ICML 2023Raising the Cost of Malicious AI-Powered Image Editing
83. ICML 2023ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval
84. ICML 2023Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
85. ICML 2023Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models
86. ICML 2023Reflected Diffusion Models
87. ICML 2023Restoration based Generative Models
88. ICML 2023Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-type Samplers
89. ICML 2023Revisiting Discriminative vs. Generative Classifiers: Theory and Implications
90. ICML 2023RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation
91. ICML 2023Scalable Adaptive Computation for Iterative Generation
92. ICML 2023Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data
93. ICML 2023SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation
94. ICML 2023SE(3) diffusion model with application to protein backbone generation
95. ICML 2023simple diffusion: End-to-end diffusion for high resolution images
96. ICML 2023SinDDM: A Single Image Denoising Diffusion Model
97. ICML 2023SinFusion: Training Diffusion Models on a Single Image or Video
98. ICML 2023SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process
99. ICML 2023StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
100. ICML 2023Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions

FAQ

How many Diffusion Models papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

6,900 in total: 660 in 2023, 1,471 in 2024, 2,078 in 2025, 2,691 in 2026.

How many Diffusion Models papers are at NeurIPS 2026?

NeurIPS 2026 has 661 Diffusion Models papers, versus 694 the year before.

How many Diffusion Models papers are at ICLR 2026?

ICLR 2026 has 694 Diffusion Models papers, versus 487 the year before.

How many Diffusion Models papers are at ICML 2026?

ICML 2026 has 728 Diffusion Models papers, versus 346 the year before.

How many Diffusion Models papers are at CVPR 2026?

CVPR 2026 has 608 Diffusion Models papers, versus 551 the year before.

Which conference publishes the most Diffusion Models papers?

NeurIPS, with 2,202 papers from 2023 to 2026.