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 50 of 54
- NeurIPS 2026Path-independent Flow Matching for Multi-parameter Generative Dynamics
- NeurIPS 2026Pathway-Aligned Regulator Tokens for Interpretable Spatial Gene Expression Prediction from Histologyatial Transcriptomics Prediction from Histology
- NeurIPS 2026PDE-SSM: A Spectral State Space Approach to Spatial Mixing in Diffusion Transformers
- NeurIPS 2026PEEK: One-Step Look-Ahead Exposure Bias Correction for Diffusion Sampling
- NeurIPS 2026Per-Starting-Point Plausibility and Diversity Bounds for Score-Based Diffusion Models
- NeurIPS 2026PermuQuant: Lowering Per-Group Quantization Error by Reordering Channels for Diffusion Models
- NeurIPS 2026Permutation-Invariant Spectral Learning via Dyson Diffusion
- NeurIPS 2026Physics-Conditioned Video Diffusion with Kinematic Priors for Fusion Capsule Polishing
- NeurIPS 2026PhysRemover: A Unified Framework for Physically Realistic Object Removal
- NeurIPS 2026PiD: Fast and High-Resolution Latent Decoding with Pixel Diffusion
- NeurIPS 2026PISCO: Precise Video Instance Insertion with Sparse Control
- NeurIPS 2026PISG: Constraint-Aligned Signal Amplification for Diffusion-Based Combinatorial Optimization
- NeurIPS 2026Plausible Biomolecular Structure Prediction via Physics-informed Reinforcement Learning
- NeurIPS 2026Plug-and-Play ADMM for Inverse Problems with Flow Matching Denoiser
- NeurIPS 2026Point Tracking Improves World Action Models
- NeurIPS 2026Policy-DRIFT: Dynamic Reward-Informed Flow Trajectory Steering
- NeurIPS 2026PosePlaner: Denoising Any Feedforward Pose Predictor from Pairwise Planar Geometry
- NeurIPS 2026PosteriorBench: From Point Estimates to Posterior Matching in Evaluating Generative Inverse Solvers
- NeurIPS 2026PRECISE: SDE-Consistent Stochastic Sampling for RL Post-Training of Flow-Matching Models
- NeurIPS 2026Preconditioned Flow Matching
- NeurIPS 2026Predict-Project-Renoise: Sampling Diffusion Models under Hard Constraints
- NeurIPS 2026Primal-Dual Flow Matching for Sample-Wise Constrained Generation
- NeurIPS 2026Principled Design of Diffusion-based Optimizers for Inverse Problems
- NeurIPS 2026Prior as Geometry, Not Generator: Weak-Diffusion Test-Time Reconstruction for Dynamic MRI
- NeurIPS 2026PRISM: Prior Rectification and Uncertainty-Aware Structure Modeling for Diffusion-Based Text Image Super-Resolution
- NeurIPS 2026PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation
- NeurIPS 2026Probabilistic Signature Inversion: Learning Conditional Distributions from Truncated Signatures
- NeurIPS 2026Probability-Conserving Flow Guidance
- NeurIPS 2026ProCTI: Prototype-Refined Global Conditioning for Diffusion-Based Time Series Imputation
- NeurIPS 2026Projection Learning: A Principled Way to Overcome Memorization in Distribution Learning
- NeurIPS 2026Prompting Diffusion Models for Zero-Shot Instance Segmentation
- NeurIPS 2026Propagation of Chaos in Contextual Flow Maps
- NeurIPS 2026ProxyPose: 6-DoF Pose Tracking via Video-to-Video Translation
- NeurIPS 2026ProxySearch: Decoupled Inference-Time Scaling for Diffusion Models via Asymmetric Noise-Rank Transfer
- NeurIPS 2026PSD: Pushing the Pareto Frontier of Diffusion LLMs via Parallel Speculative Decoding
- NeurIPS 2026Q-ARVD: Quantizing Autoregressive Video Diffusion Models
- NeurIPS 2026Quantile-Coupled Flow Matching for Distributional Reinforcement Learning
- NeurIPS 2026Quantitative Assessment of Crystal Structure Prediction
- NeurIPS 2026Query Lower Bounds for Diffusion Sampling
- NeurIPS 2026RA-CFGCache: From Branch-Level Criteria to Guided-Risk Control under Classifier-Free Guidance
- NeurIPS 2026RadarFlowPose: Vision-Inspired Coarse-to-Fine Skeleton Refinement with Flow Matching
- NeurIPS 2026RB-LDC: Redundancy-Balanced Latent Coding for Robust Diffusion
- NeurIPS 2026Re-evaluating Confidence Remasking in Masked Diffusion Language Models
- NeurIPS 2026Read It Back: Pretrained MLLMs Are Zero-shot Reward Models for Text-to-Image Generation
- NeurIPS 2026Reading Positional Coupling in Transformers with Diffusion Scores
- NeurIPS 2026Reasoning with Undecoded Tokens in Diffusion Language Models
- NeurIPS 2026Reconsidering Positional Supervision in Masked Diffusion Language Model Training
- NeurIPS 2026Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models
- NeurIPS 2026Recursively Trained Diffusion Models: Limiting Collapse Distribution and Spectral Characterization
- NeurIPS 2026RefDecoder: Enhancing Visual Generation with Conditional Video Decoding
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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 · probabilistic methods 637
- Deep learning · foundation models 536
- Deep learning · causal inference 316
- Deep learning · transfer learning 197