Diffusion Models papers, 2023–2026
Diffusion, flow matching, and score-based generative modeling
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 6,900 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 327 | 86 | 109 | 138 | 660 |
| 2024 | 520 | 260 | 195 | 496 | 1,471 |
| 2025 | 694 | 487 | 346 | 551 | 2,078 |
| 2026 | 661 | 694 | 728 | 608 | 2,691 |
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
2,690 papers, page 51 of 54
- NeurIPS 2026Refining Compositional Diffusion for Reliable Long-Horizon Planning
- NeurIPS 2026Reflected Schrödinger Bridge Matching
- NeurIPS 2026ReFlex: Faithful Panorama Reconstruction from a Single Image with Reflections
- NeurIPS 2026ReFPO: Reflow Regularization for Flow Matching Policy Gradients
- NeurIPS 2026ReGuidance: Diffusion Steering with Strong Latent Initializations Solves Hard Inverse Problems
- NeurIPS 2026Reinforce Adjoint Matching: Scaling RL Post-Training of Diffusion and Flow Models
- NeurIPS 2026Reinforcement learning enhanced flow matching for reference-based tumor generation on unpaired CT images
- NeurIPS 2026Reinforcement Learning for Diffusion LLMs with Entropy-Guided Step Selection and Stepwise Advantages
- NeurIPS 2026Reject, Resample, Repeat: Understanding Parallel Reasoning in Language Model Inference
- NeurIPS 2026Reliability-Coupled Manifold-Aware Diffusion for Missing-Modality Inference
- NeurIPS 2026Renoise Consistency: Unlocking Efficient Self-Correction for Diffusion Large Language Models
- NeurIPS 2026RePiD: Efficient Recursive Pixel-Space Diffusion via Hierarchical Patch Denoising
- NeurIPS 2026RepoScope: Bridging Physical Structure and Logical Flow for Intent-Driven Repository Documentation
- NeurIPS 2026Representation Preconditioning for Efficient Diffusion Model Training
- NeurIPS 2026Repurposing Video Diffusion Transformers for Cross-View Temporal Object Correspondence
- NeurIPS 2026ResFusion: Medical Image Fusion Driven by Implicit-Forward Diffusion and Time-aware Joint Optimization
- NeurIPS 2026Response Time Enhances Alignment with Heterogeneous Preferences
- NeurIPS 2026Rethinking Causal Action Tokenization with Conditional Annealing in Flow Matching
- NeurIPS 2026Rethinking Diffusion Decoding via Structural Commitment
- NeurIPS 2026Rethinking Knowledge Distillation for Diffusion Language Models
- NeurIPS 2026Rethinking Learning from Label Proportions via Moment Matching
- NeurIPS 2026Rethinking Memorization–Generalization Trade-Off in Generative Models
- NeurIPS 2026Rethinking Vector Field Learning for Generative Segmentation
- NeurIPS 2026Reusable Conditional Resampling via Flow Matching for Constraint-Based Causal Discovery
- NeurIPS 2026Reversing the Roles of Signal and Noise: Modeling Noise in Astronomical Images without Paired Data
- NeurIPS 2026Revisiting The Power of Closed-Form: Robust Deep Image Prototype Discovery via Scale Mixtures
- NeurIPS 2026Reweighted Flow Matching via Unbalanced Optimal Transport for Label-free Long-tailed Generation
- NeurIPS 2026RIFLE: Removal of Image Flicker-Banding via Latent Diffusion Enhancement
- NeurIPS 2026RoboExo: Structure-Guided Wrist-to-Exocentric Video Generation for Scalable Robot Learning
- NeurIPS 2026Robust Diffusion Models via Divergence-Induced Weighted Denoising
- NeurIPS 2026Robust Flow Matching under Target Corruption and Label Noise
- NeurIPS 2026Robust Graph Diffusion Model
- NeurIPS 2026Robust Inference-Time Steering of Protein Diffusion Models via Embedding Optimization
- NeurIPS 2026Rotations on Latent Hyperspheres: a Geometry-Aware Guiding Framework for Diffusion Models
- NeurIPS 2026RotVLA: Rotational Latent Action for Vision-Language-Action Model
- NeurIPS 2026RxDiff: Discrete Diffusion for Medication Recommendation with Inference-Time Safety Control
- NeurIPS 2026S$^2$-RL: Sample-Set Dual Reinforcement Learning for Generative Semantic Segmentation Dataset Distillation
- NeurIPS 2026Safe Few-Step Generation via Velocity Editing
- NeurIPS 2026Safe Score Matching: Diffusion Policies with Hamilton-Jacobi Reachability for Online Safe Reinforcement Learning
- NeurIPS 2026Safety Reconstructed: Generative Modeling via Masked Diffusion Builds Strong Safety Guardrails
- NeurIPS 2026SARA: Step-Adaptive Rank Adjustment for Diffusion Inference Acceleration
- NeurIPS 2026Scale Where It Matters: Training-Free Localized Scaling for Diffusion Models
- NeurIPS 2026scShapeBench: Discovering geometry from high dimensional scRNAseq data
- NeurIPS 2026SCULPT: Advancing Masked Discrete Diffusion for High-Resolution Image Synthesis.
- NeurIPS 2026SDFlow: Similarity-Driven Flow Matching for Time Series Generation
- NeurIPS 2026Search-Augmented Masked Diffusion Models for Constrained Generation
- NeurIPS 2026Secure Seed-Based Multi-bit Watermarking for Diffusion Models from First Principles
- NeurIPS 2026Seed-Your-Motion: Householder Orthogonal Noise for Motion-Controllable Video Diffusion Models
- NeurIPS 2026Seeking the Unfamiliar but Memorable: Conceptual Creativity as Meta-Learning
- NeurIPS 2026SEGA: Spectral-Energy Guided Attention for Resolution Extrapolation in Diffusion Transformers
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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.
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- Deep learning · large language models 2,334
- Deep learning · self supervised learning 1,958
- Deep learning · graph neural networks 1,648
- Deep learning · optimization 953
- Deep learning · representation learning 802
- Deep learning · probabilistic methods 637
- Deep learning · foundation models 536
- Deep learning · causal inference 316
- Deep learning · transfer learning 197