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 42 of 54
- NeurIPS 2026AdaState: Self-Evolving Anchors for Streaming Video Generation
- NeurIPS 2026Advanced Routing as Regularization Allocation for Efficient Diffusion Transformer Training
- NeurIPS 2026AegisFlow: Training-free Non-myopic Path-safe Guided Flow Matching
- NeurIPS 2026AHPA: Adaptive Hierarchical Prior Alignment for Diffusion Transformers
- NeurIPS 2026ALAM: Algebraically Consistent Latent Transitions for Vision-Language-Action Models
- NeurIPS 2026Align $\&$ Invert: Solving Inverse Problems with Diffusion and Flow-based Models via Representation Alignment
- NeurIPS 2026Align as You Couple: Learning Spatial Resolved Inference from H&E Images with Mollified Flow Matching
- NeurIPS 2026Aligning Flow Map Policies with Optimal $Q$-Guidance
- NeurIPS 2026All Roads Lead to Rome: Flow-driven Multi-Anchor Exploration for Open-Environment Active 3D Mapping
- NeurIPS 2026All-Addition Spiking Diffusion Models with Attention Enhancement
- NeurIPS 2026Amortized Guidance for Image Inpainting with Pretrained Diffusion Models
- NeurIPS 2026Amortized Optimal Transport from Sliced Potentials
- NeurIPS 2026An exact information theory of generalization phase transitions in Bayesian diffusion models
- NeurIPS 2026AnaDiffusion: Anatomically Compositional Latent Diffusion for Controllable 3D Brain MRI Generation
- NeurIPS 2026Analyzing Learning-Dynamics Across Loss and Prediction Choices for Diffusion Models
- NeurIPS 2026Anchored Protein Engineering
- NeurIPS 2026Anchoring LLM-based Chest X-ray Report Generation via Diffusion Language Planning
- NeurIPS 2026ANCRe: Adaptive Neural Connection Reassignment for Efficient Depth Scaling
- NeurIPS 2026Antibody Generation via Redistributed Latent Diffusion
- NeurIPS 2026AR-Edit: Training-Free Streaming Video Editing without Inversion
- NeurIPS 2026Arbitrarily Conditioned Hierarchical Flows for Spatiotemporal Events
- NeurIPS 2026Are we really tilting? The mechanics of reward guidance in flow and diffusion models
- NeurIPS 2026ART for Diffusion Sampling: A Reinforcement Learning Approach to Timestep Scheduling
- NeurIPS 2026AsymHP: Load-Balanced Sparse Attention for Video Diffusion Transformers
- NeurIPS 2026AtlasVid: Efficient Ultra-High-Resolution Long Video Generation via Decoupled Global-Local Modeling
- NeurIPS 2026Attend Locally, Remember Linearly: Linear Attention as Cross-Frame Memory for Autoregressive Video Diffusion
- NeurIPS 2026Attention-Based Sampler for Diffusion Language Models
- NeurIPS 2026Attention-Discounted Adaptive Sampler for Masked Diffusion Language Models
- NeurIPS 2026AudioCALM: Continuous Autoregressive Language Modeling for Universal Audio Generation
- NeurIPS 2026B[FM]$^2$: Brain Foundation Model via Flow Matching with SplitUNet
- NeurIPS 2026Baton: Explicit Semantic Blueprints for Joint Video-Audio Generation
- NeurIPS 2026Beckmann Transport Models: From Autonomous Flows to One-Step Maps
- NeurIPS 2026Bernini: Latent Semantic Planning for Video Diffusion
- NeurIPS 2026Bernoulli Flow Models: Self-Consistent Generative Modeling for Binary Data
- NeurIPS 2026Best-of-$N$ Guidance for Test-time Diffusion Alignment
- NeurIPS 2026Better Source, Better Flow: Learning Condition-Dependent Source Distribution for Flow Matching
- NeurIPS 2026Beyond Distribution Matching: Self-Supervised Representation Forcing for Few-Step Video Generation
- NeurIPS 2026Beyond Generation: Unlocking Discriminative Representations from Diffusion Models
- NeurIPS 2026Beyond Local Neighborhoods: Fractional Diffusion with Levy Flights on Simplicial Complexes for Link Prediction
- NeurIPS 2026Beyond MMSE: Enhancing PnP Restoration with ProxiMAP
- NeurIPS 2026Beyond Node Sequences: Relational Diffusion for Unified Graph Learning
- NeurIPS 2026Beyond Single-Shot Conditioning: Test-Time Condition Refinement for Diffusion-Based Image Restoration
- NeurIPS 2026Beyond ViT Tokens: Masked-Diffusion Pretrained Convolutional Pathology Foundation Model for Cell-Level Dense Prediction
- NeurIPS 2026Bidirectional Sparse Attention for Faster Video Diffusion Training
- NeurIPS 2026BigCell: Generating Gigapixel Whole-Slide Images
- NeurIPS 2026BiLoCo: Binary Low-Rank Corrections for LLM FP4 Decode
- NeurIPS 2026BiMoGen: Bidirectional Motion-Text Generation via Unified Masked Discrete Diffusion
- NeurIPS 2026Blocked Gibbs meets Diffusion Transformers: Unsupervised Learning for Constraint Optimization
- NeurIPS 2026Bonobo: Efficient Library-Scale Generation for De Novo Antibody Design
- NeurIPS 2026Boosting Text-to-Image Diffusion Models via Core Token Attention-Based Seed Selection
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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 · representation learning 802
- Deep learning · probabilistic methods 637
- Deep learning · foundation models 536
- Deep learning · causal inference 316
- Deep learning · transfer learning 197