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
195 papers, page 2 of 4
- ICML 2024Diffuse, Sample, Project: Plug-And-Play Controllable Graph Generation
- ICML 2024Diffusion Language Models Are Versatile Protein Learners
- ICML 2024Diffusion Model-Augmented Behavioral Cloning
- ICML 2024Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance
- ICML 2024Diffusion Models Encode the Intrinsic Dimension of Data Manifolds
- ICML 2024Diffusion Posterior Sampling is Computationally Intractable
- ICML 2024Diffusion Rejection Sampling
- ICML 2024Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations
- ICML 2024Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering
- ICML 2024Diffusive Gibbs Sampling
- ICML 2024DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency
- ICML 2024Directly Denoising Diffusion Models
- ICML 2024Dirichlet Flow Matching with Applications to DNA Sequence Design
- ICML 2024DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents
- ICML 2024Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
- ICML 2024Disguised Copyright Infringement of Latent Diffusion Models
- ICML 2024DITTO: Diffusion Inference-Time T-Optimization for Music Generation
- ICML 2024Don't be so Negative! Score-based Generative Modeling with Oracle-assisted Guidance
- ICML 2024DRCT: Diffusion Reconstruction Contrastive Training towards Universal Detection of Diffusion Generated Images
- ICML 2024E$^2$GAN: Efficient Training of Efficient GANs for Image-to-Image Translation
- ICML 2024Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring
- ICML 2024Editing Partially Observable Networks via Graph Diffusion Models
- ICML 2024Efficient Denoising Diffusion via Probabilistic Masking
- ICML 2024Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning
- ICML 2024Equivariant Diffusion for Crystal Structure Prediction
- ICML 2024Fast Timing-Conditioned Latent Audio Diffusion
- ICML 2024Feedback Efficient Online Fine-Tuning of Diffusion Models
- ICML 2024FiT: Flexible Vision Transformer for Diffusion Model
- ICML 2024Floating Anchor Diffusion Model for Multi-motif Scaffolding
- ICML 2024FlowMM: Generating Materials with Riemannian Flow Matching
- ICML 2024FRAG: Frequency Adapting Group for Diffusion Video Editing
- ICML 2024From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems
- ICML 2024Full-Atom Peptide Design based on Multi-modal Flow Matching
- ICML 2024Generative Conditional Distributions by Neural (Entropic) Optimal Transport
- ICML 2024Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design
- ICML 2024Generative Marginalization Models
- ICML 2024Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes
- ICML 2024GiLOT: Interpreting Generative Language Models via Optimal Transport
- ICML 2024Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations
- ICML 2024Graph Adversarial Diffusion Convolution
- ICML 2024Graph Generation with Diffusion Mixture
- ICML 2024Guidance with Spherical Gaussian Constraint for Conditional Diffusion
- ICML 2024Harmonic Self-Conditioned Flow Matching for joint Multi-Ligand Docking and Binding Site Design
- ICML 2024How to Trace Latent Generative Model Generated Images without Artificial Watermark?
- ICML 2024Hyperbolic Geometric Latent Diffusion Model for Graph Generation
- ICML 2024Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge
- ICML 2024Imitation Learning from Purified Demonstrations
- ICML 2024Improving Adversarial Energy-Based Model via Diffusion Process
- ICML 2024Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
- ICML 2024Interacting Diffusion Processes for Event Sequence Forecasting
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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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