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
520 papers, page 7 of 11
- NeurIPS 2024Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient
- NeurIPS 2024Learning Superconductivity from Ordered and Disordered Material Structures
- NeurIPS 2024Learning the Infinitesimal Generator of Stochastic Diffusion Processes
- NeurIPS 2024Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
- NeurIPS 2024Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals
- NeurIPS 2024Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning
- NeurIPS 2024Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models
- NeurIPS 2024Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding
- NeurIPS 2024LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
- NeurIPS 2024LLM-based Skill Diffusion for Zero-shot Policy Adaptation
- NeurIPS 2024Local Curvature Smoothing with Stein's Identity for Efficient Score Matching
- NeurIPS 2024Localize, Understand, Collaborate: Semantic-Aware Dragging via Intention Reasoner
- NeurIPS 2024Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild
- NeurIPS 2024Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics
- NeurIPS 2024Lumina-Next : Making Lumina-T2X Stronger and Faster with Next-DiT
- NeurIPS 2024MADiff: Offline Multi-agent Learning with Diffusion Models
- NeurIPS 2024Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function
- NeurIPS 2024Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion
- NeurIPS 2024MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models
- NeurIPS 2024Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows
- NeurIPS 2024MaskFactory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation
- NeurIPS 2024Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models
- NeurIPS 2024MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models
- NeurIPS 2024Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy
- NeurIPS 2024MeshFormer : High-Quality Mesh Generation with 3D-Guided Reconstruction Model
- NeurIPS 2024Meta-Diffu$B$: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration
- NeurIPS 2024Metric Flow Matching for Smooth Interpolations on the Data Manifold
- NeurIPS 2024MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs
- NeurIPS 2024MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and Benchmark for Text-to-Image Generation
- NeurIPS 2024Model-based Diffusion for Trajectory Optimization
- NeurIPS 2024MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts
- NeurIPS 2024MoMu-Diffusion: On Learning Long-Term Motion-Music Synchronization and Correspondence
- NeurIPS 2024Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
- NeurIPS 2024MotionBooth: Motion-Aware Customized Text-to-Video Generation
- NeurIPS 2024MotionCraft: Physics-Based Zero-Shot Video Generation
- NeurIPS 2024Multi-hypotheses Conditioned Point Cloud Diffusion for 3D Human Reconstruction from Occluded Images
- NeurIPS 2024Multistable Shape from Shading Emerges from Patch Diffusion
- NeurIPS 2024Multistep Distillation of Diffusion Models via Moment Matching
- NeurIPS 2024MVGamba: Unify 3D Content Generation as State Space Sequence Modeling
- NeurIPS 2024MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views
- NeurIPS 2024NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing
- NeurIPS 2024Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models
- NeurIPS 2024Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
- NeurIPS 2024Neural Gaffer: Relighting Any Object via Diffusion
- NeurIPS 2024Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses
- NeurIPS 2024Neural Residual Diffusion Models for Deep Scalable Vision Generation
- NeurIPS 2024NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction
- NeurIPS 2024No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
- NeurIPS 2024Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features
- NeurIPS 2024Novel Object Synthesis via Adaptive Text-Image Harmony
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