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

260 papers, page 2 of 6

51. ICLR 2024DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation
52. ICLR 2024DiffEnc: Variational Diffusion with a Learned Encoder
53. ICLR 2024Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization
54. ICLR 2024Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation
55. ICLR 2024Diffusion Model for Dense Matching
56. ICLR 2024Diffusion Models for Multi-Task Generative Modeling
57. ICLR 2024Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective
58. ICLR 2024Diffusion Sampling with Momentum for Mitigating Divergence Artifacts
59. ICLR 2024Diffusion-TS: Interpretable Diffusion for General Time Series Generation
60. ICLR 2024DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models
61. ICLR 2024DiffusionSat: A Generative Foundation Model for Satellite Imagery
62. ICLR 2024Directly Fine-Tuning Diffusion Models on Differentiable Rewards
63. ICLR 2024Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search
64. ICLR 2024DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation
65. ICLR 2024DMBP: Diffusion model-based predictor for robust offline reinforcement learning against state observation perturbations
66. ICLR 2024DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model
67. ICLR 2024Do Generated Data Always Help Contrastive Learning?
68. ICLR 2024Don't Play Favorites: Minority Guidance for Diffusion Models
69. ICLR 2024DORSal: Diffusion for Object-centric Representations of Scenes $\textit{et al.}$
70. ICLR 2024DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
71. ICLR 2024DreamClean: Restoring Clean Image Using Deep Diffusion Prior
72. ICLR 2024DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
73. ICLR 2024DreamFlow: High-quality text-to-3D generation by Approximating Probability Flow
74. ICLR 2024DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation
75. ICLR 2024Dynamics-Informed Protein Design with Structure Conditioning
76. ICLR 2024ED-NeRF: Efficient Text-Guided Editing of 3D Scene With Latent Space NeRF
77. ICLR 2024Effective Data Augmentation With Diffusion Models
78. ICLR 2024Efficient and Scalable Graph Generation through Iterative Local Expansion
79. ICLR 2024Efficient Integrators for Diffusion Generative Models
80. ICLR 2024Efficient Planning with Latent Diffusion
81. ICLR 2024Efficient Score Matching with Deep Equilibrium Layers
82. ICLR 2024Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition
83. ICLR 2024Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day
84. ICLR 2024EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
85. ICLR 2024Elucidating the design space of classifier-guided diffusion generation
86. ICLR 2024Elucidating the Exposure Bias in Diffusion Models
87. ICLR 2024EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models
88. ICLR 2024Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping
89. ICLR 2024Exploring Diffusion Time-steps for Unsupervised Representation Learning
90. ICLR 2024Exposing Text-Image Inconsistency Using Diffusion Models
91. ICLR 2024Fast Ensembling with Diffusion Schrödinger Bridge
92. ICLR 2024Fast, Expressive $\mathrm{SE}(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space
93. ICLR 2024Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
94. ICLR 2024Finetuning Text-to-Image Diffusion Models for Fairness
95. ICLR 2024FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing
96. ICLR 2024Flow Matching on General Geometries
97. ICLR 2024Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation
98. ICLR 2024FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling
99. ICLR 2024FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators
100. ICLR 2024From Zero to Turbulence: Generative Modeling for 3D Flow Simulation

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.