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
346 papers, page 7 of 7
- ICML 2025Supercharging Graph Transformers with Advective Diffusion
- ICML 2025Synthetic Face Datasets Generation via Latent Space Exploration from Brownian Identity Diffusion
- ICML 2025TabNAT: A Continuous-Discrete Joint Generative Framework for Tabular Data
- ICML 2025Taming Diffusion for Dataset Distillation with High Representativeness
- ICML 2025Taming Rectified Flow for Inversion and Editing
- ICML 2025Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
- ICML 2025Targeted Unlearning with Single Layer Unlearning Gradient
- ICML 2025Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner
- ICML 2025TCP-Diffusion: A Multi-modal Diffusion Model for Global Tropical Cyclone Precipitation Forecasting with Change Awareness
- ICML 2025TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching
- ICML 2025Temporal Difference Flows
- ICML 2025Test-Time Canonicalization by Foundation Models for Robust Perception
- ICML 2025The Diffusion Duality
- ICML 2025The Noisy Laplacian: a Threshold Phenomenon for Non-Linear Dimension Reduction
- ICML 2025Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos
- ICML 2025TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
- ICML 2025TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision
- ICML 2025ToMA: Token Merge with Attention for Diffusion Models
- ICML 2025Towards a Mechanistic Explanation of Diffusion Model Generalization
- ICML 2025Towards Black-Box Membership Inference Attack for Diffusion Models
- ICML 2025Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions
- ICML 2025Training Diffusion-based Generative Models with Limited Data
- ICML 2025TruthFlow: Truthful LLM Generation via Representation Flow Correction
- ICML 2025Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion
- ICML 2025Ultra-Resolution Adaptation with Ease
- ICML 2025Understanding and Mitigating Memorization in Diffusion Models for Tabular Data
- ICML 2025Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes
- ICML 2025UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control
- ICML 2025UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation
- ICML 2025UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design
- ICML 2025Unsupervised Learning for Class Distribution Mismatch
- ICML 2025Upcycling Text-to-Image Diffusion Models for Multi-Task Capabilities
- ICML 2025Variance as a Catalyst: Efficient and Transferable Semantic Erasure Adversarial Attack for Customized Diffusion Models
- ICML 2025Variational Control for Guidance in Diffusion Models
- ICML 2025Variational Rectified Flow Matching
- ICML 2025VCT: Training Consistency Models with Variational Noise Coupling
- ICML 2025VerbalTS: Generating Time Series from Texts
- ICML 2025Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations
- ICML 2025VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
- ICML 2025Wasserstein Flow Matching: Generative Modeling Over Families of Distributions
- ICML 2025When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets
- ICML 2025When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class
- ICML 2025WMAdapter: Adding WaterMark Control to Latent Diffusion Models
- ICML 2025WyckoffDiff -- A Generative Diffusion Model for Crystal Symmetry
- ICML 2025Zero-Shot Adaptation of Parameter-Efficient Fine-Tuning in Diffusion Models
- ICML 2025Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints
Ask about this trend from Claude or Cursor
Connect the Paperlist MCP and your assistant can pull the numbers on this page while you draft a survey, pick a direction or plan a submission: papers per year and venue, growth, the fastest-rising sub-themes and representative papers, shaped around your question.
Copy this prompt into your assistant
Use paperlist to show how Diffusion Models papers grew at NeurIPS from 2023 to 2026, and which year jumped the most.
Tool the assistant calls: get_topic_stats {"topic": "diffusion-models"}
Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)
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.
More in Deep Learning
- Deep learning · generative models and autoencoders 4,314
- Deep learning · large language models 2,334
- Deep learning · self supervised learning 1,958
- Deep learning · graph neural networks 1,648
- 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