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
6,899 papers, page 129 of 138
- ICLR 2023Diffusion Models Already Have A Semantic Latent Space
- ICLR 2023Diffusion Models for Causal Discovery via Topological Ordering
- ICLR 2023Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning
- ICLR 2023Diffusion Posterior Sampling for General Noisy Inverse Problems
- ICLR 2023Diffusion Probabilistic Fields
- ICLR 2023Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem
- ICLR 2023Diffusion-based Image Translation using disentangled style and content representation
- ICLR 2023Diffusion-GAN: Training GANs with Diffusion
- ICLR 2023DiGress: Discrete Denoising diffusion for graph generation
- ICLR 2023Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation
- ICLR 2023Discrete Predictor-Corrector Diffusion Models for Image Synthesis
- ICLR 2023Distilling Model Failures as Directions in Latent Space
- ICLR 2023DreamFusion: Text-to-3D using 2D Diffusion
- ICLR 2023Dual Diffusion Implicit Bridges for Image-to-Image Translation
- ICLR 2023Equivariant Energy-Guided SDE for Inverse Molecular Design
- ICLR 2023Equivariant Hypergraph Diffusion Neural Operators
- ICLR 2023f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation
- ICLR 2023Fast Sampling of Diffusion Models with Exponential Integrator
- ICLR 2023Flow Annealed Importance Sampling Bootstrap
- ICLR 2023Flow Matching for Generative Modeling
- ICLR 2023Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
- ICLR 2023gDDIM: Generalized denoising diffusion implicit models
- ICLR 2023Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks
- ICLR 2023Generative Modeling Helps Weak Supervision (and Vice Versa)
- ICLR 2023Generative Modelling with Inverse Heat Dissipation
- ICLR 2023Hierarchical Sliced Wasserstein Distance
- ICLR 2023Human Motion Diffusion Model
- ICLR 2023Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules
- ICLR 2023Imitating Human Behaviour with Diffusion Models
- ICLR 2023Information-Theoretic Diffusion
- ICLR 2023Is Conditional Generative Modeling all you need for Decision Making?
- ICLR 2023kNN-Diffusion: Image Generation via Large-Scale Retrieval
- ICLR 2023Learning Diffusion Bridges on Constrained Domains
- ICLR 2023Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision
- ICLR 2023Markup-to-Image Diffusion Models with Scheduled Sampling
- ICLR 2023MARS: Meta-learning as Score Matching in the Function Space
- ICLR 2023MeshDiffusion: Score-based Generative 3D Mesh Modeling
- ICLR 2023Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching
- ICLR 2023Neural Lagrangian Schr\"{o}dinger Bridge: Diffusion Modeling for Population Dynamics
- ICLR 2023Novel View Synthesis with Diffusion Models
- ICLR 2023Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling
- ICLR 2023Particle-based Variational Inference with Preconditioned Functional Gradient Flow
- ICLR 2023Prompt-to-Prompt Image Editing with Cross-Attention Control
- ICLR 2023Protein Sequence and Structure Co-Design with Equivariant Translation
- ICLR 2023Pseudoinverse-Guided Diffusion Models for Inverse Problems
- ICLR 2023Quantized Compressed Sensing with Score-Based Generative Models
- ICLR 2023Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images
- ICLR 2023Re-Imagen: Retrieval-Augmented Text-to-Image Generator
- ICLR 2023Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
- ICLR 2023Score-based Continuous-time Discrete Diffusion Models
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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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