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

728 papers, page 2 of 15

51. ICML 2026Beyond VLM-Based Rewards: Diffusion-Native Latent Reward Modeling
52. ICML 2026Bi-Anchor Interpolation Solver for Accelerating Generative Modeling
53. ICML 2026Biased Generalization in Diffusion Models
54. ICML 2026BioDynaSpec: Harmonic-Guided Spatio-Spectral Autoregressive Diffusion for Protein Dynamics Generation
55. ICML 2026BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning
56. ICML 2026Both Semantics and Reconstruction Matter: Making Representation Encoders Ready for Text-to-Image Generation and Editing
57. ICML 2026Branching Diffusion for Point Processes in Time and Space
58. ICML 2026Break the Block: Dynamic-size Reasoning Blocks for Diffusion Large Language Models via Monotonic Entropy Descent with Reinforcement Learning
59. ICML 2026Breaking Manifold Continuity: Vector Quantized Modeling for Real-Centric Deepfake Detection
60. ICML 2026Breaking the Factorization Barrier in Diffusion Language Models
61. ICML 2026Breaking the Lock-in: Diversifying Text-to-Image Generation via Representation Modulation
62. ICML 2026Bridge Matching Sampler: Scalable Sampling via Generalized Fixed-Point Diffusion Matching
63. ICML 2026Bridging Dynamics and Data: A Unified Diffusion Framework for Mechanistically-Informed Epidemic Forecasting
64. ICML 2026Bridging RGB and RAW: Single-step Deterministic Flow with Homogeneous Representation Alignment
65. ICML 2026Bridging Structure and Semantics: Uncertainty-Modulated Dual-Path Diffusion for Robust Text-Attributed Graph Learning
66. ICML 2026Budget-Constrained Step-Level Diffusion Caching
67. ICML 2026CacheEdit: Efficient Multi-round Image Editing via Adaptive Token-wise Reuse.
68. ICML 2026Calibrated Test-Time Guidance for Bayesian Inference
69. ICML 2026Calibrating Generative Models to Distributional Constraints
70. ICML 2026CameraNoise: Enabling Faithful Camera Control in Video Diffusion through Geometry-Flow-Guided Noise Warping
71. ICML 2026Can I Have Your Order? Monte-Carlo Tree Search for Slot Filling Ordering in Diffusion Language Models
72. ICML 2026CANDI: Hybrid Discrete-Continuous Diffusion Models
73. ICML 2026Cardio-mmFlow: A Gaussian-Prior-Free Physics-Informed Flow Matching Framework for Electrocardiogram to mmWave Radar Synthesis
74. ICML 2026Cascaded Flow Matching for Heterogeneous Tabular Data with Mixed-Type Features
75. ICML 2026Categorical Flow Maps
76. ICML 2026Categorical Reparameterization with Denoising Diffusion Models
77. ICML 2026CatFlow: Co-generation of Slab-Adsorbate Systems via Flow Matching
78. ICML 2026Causal Flow Q-Learning for Robust Offline Reinforcement Learning
79. ICML 2026Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation
80. ICML 2026Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual Generation
81. ICML 2026CBV: Clean-label Backdoor Attacks on Vision Language Models via Diffusion Models
82. ICML 2026CellBRIDGE: Learning Cellular Trajectories via Interaction-Aware Alignment
83. ICML 2026Cert-LAS: Toward Certified Model Ownership Verification for Text-to-Image Diffusion Models via Layer-Adaptive Smoothing
84. ICML 2026Chamaileon: Cross-Context Binder Design with Contextualized Modeling and Mixed Sampling
85. ICML 2026Clustering in Deep Stochastic Transformers
86. ICML 2026CoCoEmo: Composable and Controllable Human-Like Emotional TTS via Activation Steering
87. ICML 2026CoD-Lite: Real-Time Diffusion-Based Generative Image Compression
88. ICML 2026CODiff: One-Step Diffusion Model for Camouflaged Object Detection
89. ICML 2026Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner
90. ICML 2026CoGenCast: A Coupled Autoregressive–Flow Generative Framework for Time Series Forecasting
91. ICML 2026Compositional Generative Modeling from Decentralized Data
92. ICML 2026Compression as Adaptation: Implicit Visual Representation with Diffusion Foundation Models
93. ICML 2026Concept Removal for Frontier Image Generative Models
94. ICML 2026Concept Removal Guidance: Evidence-Calibrated Negative Guidance for Safe Diffusion Sampling
95. ICML 2026Condition-Aware Graph Flow Matching for Modeling the Distributions of Complex Fluid Systems
96. ICML 2026Conditional Diffusion Sampling
97. ICML 2026Conflict-Aware Additive Guidance for Flow Models under Compositional Rewards
98. ICML 2026Consistent Diffusion Language Models
99. ICML 2026Constrained Flow Optimization via Sequential Fine-Tuning for Molecular Design
100. ICML 2026Continuity-Regularized Flow Matching for Offline Reinforcement Learning

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.