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 45 of 54
- NeurIPS 2026DUET: Unified Dual-Space Emotion Control for Diffusion and Flow-Matching Driven Text-to-Speech
- NeurIPS 2026Dynamic Representation Modeling for Federated Medical Image Domain Generalization
- NeurIPS 2026Dynamic Video Generation: Shaping Video Generation Across Time and Space
- NeurIPS 2026Dynamically Structured Diffusion Language Model Decoding via Bayesian Inference
- NeurIPS 2026EDISCO: Equivariant Discrete Diffusion for Euclidean Combinatorial Optimization
- NeurIPS 2026Edit-R2: Context-Aware Reinforcement Learning for Multi-Turn Image Editing
- NeurIPS 2026Efficient and Robust Physical 3DGS-MPM Simulation via Interior Filling and Text-Physics Optimization
- NeurIPS 2026Efficient Dataset Distillation for Pre-Trained Self-Supervised Models via Statistical Flow Matching
- NeurIPS 2026Efficient One-to-many Domain Translation via Diffusive Entropic Optimal Transport
- NeurIPS 2026Efficient Retrosynthesis Prediction with Integral Flow Matching and Latent Inversion
- NeurIPS 2026EGCA: A Spectral Perspective on Forward Process Design in Diffusion Models
- NeurIPS 2026EgoHMP: Achieving Precise Human Motion Prediction in 3D Scenes via Egocentric Cues
- NeurIPS 2026Emergence of Distortions in High-Dimensional Guided Diffusion Models
- NeurIPS 2026Empowering Masked Diffusion Models to Self-Correct with Leave-One-Out Transformers
- NeurIPS 2026Enabling Denoising Score Matching Type Training for Manifold Diffusion Model via Momentum and Splitting
- NeurIPS 2026Enabling Preference-driven Unlearning in Few-step Distilled Text-to-Image Diffusion Models
- NeurIPS 2026Enabling VLA Action Self-Verification via VLM Token Probability Bucketing
- NeurIPS 2026End-to-End Differentiable Diffusion Conditioning for Physics-Informed Optimization
- NeurIPS 2026Energy-Guided Transport for Projection-Free Physics-Informed Flow Matching
- NeurIPS 2026Energy-Tweedie: Score meets Score, Energy meets Energy
- NeurIPS 2026Enhanced convergence guarantees of score-based generative models in $\mathcal{W}_2$-distance beyond log-concavity
- NeurIPS 2026Enhancing Novel View Synthesis via Geometry Grounded Set Diffusion
- NeurIPS 2026Entangled Schrödinger Bridge Matching
- NeurIPS 2026EP-Flow: Disordered Crystal Structure Prediction without Site-level Annotation
- NeurIPS 2026EpicWorldModel: Exploration-driven Planning with Latent World Models
- NeurIPS 2026Epigenomics-Guided Flow Matching for 3D Genome Super-Resolution
- NeurIPS 2026Ergodic Trajectory Design by Learned Pushforward Maps: Provable Coverage via Conditional Flow Matching
- NeurIPS 2026Escaping the Curse of Dimensionality in One‑Step Flow-Based Generative Models
- NeurIPS 2026ESS-Flow: training-free guidance as Bayesian inference in source space
- NeurIPS 2026EverAnimate: Minute-Scale Human Animation via Latent Flow Restoration
- NeurIPS 2026Every Measurement, Every Direction, All at Once: Multimodal Flow Matching for Molecules and Spectra
- NeurIPS 2026Everything at Every Scale: Scale-Invariant Diffusion with Continuous Super-Resolution
- NeurIPS 2026Exact Channel Decoupling via Joint Diagonalization and Uniform Splicing for Diffusion Transformer Quantization
- NeurIPS 2026Exact Posterior Score Estimation for Solving Linear Inverse Problems
- NeurIPS 2026Example-Based Spatial Guidance for Training-Free Concept Erasure in Diffusion Models
- NeurIPS 2026Expanding Flow Maps
- NeurIPS 2026Expected Batch Optimal Transport Plans and Consequences for Flow Matching
- NeurIPS 2026Exploring Advertising Manipulation in Diffusion Image Generation
- NeurIPS 2026Exploring MLLM-Diffusion Information Transfer with MetaCanvas
- NeurIPS 2026Extracting Training Data from Diffusion Language Models via Infilling
- NeurIPS 2026ExtraVAR: Stage-Aware RoPE Remapping for Resolution Extrapolation in Visual Autoregressive Models
- NeurIPS 2026Extremely Sparse-View Computed Tomography from 2D Projections via Pose-Aware Diffusion Priors
- NeurIPS 2026F2G-Pose: Geometry-Aware Foundation Feature Lifting for Direct RGB-D Category-Level Object Pose Estimation
- NeurIPS 2026Factored Generative Models through Mechanism Diversity
- NeurIPS 2026FADE: Fractional Anomalous Dynamics Extrapolation for Training-Free Diffusion Transformers Acceleration
- NeurIPS 2026Fast Organic Crystal Structure Prediction with Unit Cell Flow Matching
- NeurIPS 2026FAST-Brain: A Flow-Aligned Spatio-Temporal Surrogate Brain Model
- NeurIPS 2026Fast-dLLM++: Fr\'{e}chet Profile Decoding for Faster Diffusion LLM Inference
- NeurIPS 2026FEAD: Fine-Grained Epipolar Attention Diffusion for Large-Disparity Light Field Spatial Super-Resolution
- NeurIPS 2026Feature Information Dynamics in Diffusion
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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 · self supervised learning 1,958
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- 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