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
694 papers, page 9 of 14
- ICLR 2026MeanCache: From Instantaneous to Average Velocity for Accelerating Flow Matching Inference
- ICLR 2026Measurement Score-Based Diffusion Model
- ICLR 2026Micro-Macro Coupled Koopman Modeling on Graph for Traffic Flow Prediction
- ICLR 2026MIMIC: Mask-Injected Manipulation Video Generation with Interaction Control
- ICLR 2026MindPilot: Closed-loop Visual Stimulation Optimization for Brain Modulation with EEG-guided Diffusion
- ICLR 2026Mirror Flow Matching with Heavy-Tailed Priors for Generative Modeling on Convex Domains
- ICLR 2026Mitigating Noise Shift in Denoising Generative Models with Noise Awareness Guidance
- ICLR 2026Mitigating Semantic Collapse in Generative Personalization with Test-Time Embedding Adjustment
- ICLR 2026MMPD: Diverse Time Series Forecasting via Multi-Mode Patch Diffusion Loss
- ICLR 2026MoAlign: Motion-Centric Representation Alignment for Video Diffusion Models
- ICLR 2026Model Already Knows the Best Noise: Bayesian Active Noise Selection via Attention in Video Diffusion Model
- ICLR 2026MoGen: Detailed Neuronal Morphology Generation via Point Cloud Flow Matching
- ICLR 2026MolEditRL: Structure-Preserving Molecular Editing via Discrete Diffusion and Reinforcement Learning
- ICLR 2026MOLM: Mixture of LoRA Markers
- ICLR 2026Monocular Normal Estimation via Shading Sequence Estimation
- ICLR 2026MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement
- ICLR 2026Motion Prior Distillation in Time Reversal Sampling for Generative Inbetweening
- ICLR 2026MotionWeaver: Holistic 4D-Anchored Framework for Multi-Humanoid Image Animation
- ICLR 2026Moving Beyond Diffusion: Hierarchy-to-Hierarchy Autoregression for fMRI-to-Image Reconstruction
- ICLR 2026Multi-agent Coordination via Flow Matching
- ICLR 2026Multi-Marginal Flow Matching with Adversarially Learnt Interpolants
- ICLR 2026Multi-Scale Diffusion-Guided Graph Learning with Power-Smoothing Random Walk Contrast for Multi-View Clustering
- ICLR 2026Multi-Subspace Multi-Modal Modeling for Diffusion Models: Estimation, Convergence and Mixture of Experts
- ICLR 2026Multiplicative Diffusion Models: Beyond Gaussian Latents
- ICLR 2026MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection
- ICLR 2026MVCustom: Multi-View Customized Diffusion via Geometric Latent Rendering and Completion
- ICLR 2026NatADiff: Adversarial Boundary Guidance for Natural Adversarial Diffusion
- ICLR 2026Native Adaptive Solution Expansion for Diffusion-based Combinatorial Optimization
- ICLR 2026Neodragon: Mobile Video Generation Using Diffusion Transformer
- ICLR 2026Neon: Negative Extrapolation From Self-Training Improves Image Generation
- ICLR 2026NeRV-Diffusion: Diffuse Implicit Neural Representation for Video Synthesis
- ICLR 2026NeuralOS: Towards Simulating Operating Systems via Neural Generative Models
- ICLR 2026NExT-OMNI: Towards Any-to-Any Omnimodal Foundation Models with Discrete Flow Matching
- ICLR 2026NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale
- ICLR 2026NI Sampling: Accelerating Discrete Diffusion Sampling by Token Order Optimization
- ICLR 2026No Caption, No Problem: Caption-Free Membership Inference via Model-Fitted Embeddings
- ICLR 2026Noise-Adaptive Diffusion Sampling for Inverse Problems Without Task-Specific Tuning
- ICLR 2026NoisePrints: Distortion-Free Watermarks for Authorship in Private Diffusion Models
- ICLR 2026Object Fidelity Diffusion for Remote Sensing Image Generation
- ICLR 2026OBS-Diff: Accurate Pruning For Diffusion Models in One-Shot
- ICLR 2026OmniNav: A Unified Framework for Prospective Exploration and Visual-Language Navigation
- ICLR 2026OmniText: A Training-Free Generalist for Controllable Text-Image Manipulation
- ICLR 2026On Powerful Ways to Generate: Autoregression, Diffusion, and Beyond
- ICLR 2026On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations
- ICLR 2026On the Design of One-step Diffusion via Shortcutting Flow Paths
- ICLR 2026On the Interpolation Effect of Score Smoothing in Diffusion Models
- ICLR 2026On the Reasoning Abilities of Masked Diffusion Language Models
- ICLR 2026One step further with Monte-Carlo sampler to guide diffusion better
- ICLR 2026One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs
- ICLR 2026One-Step Flow Q-Learning: Addressing the Diffusion Policy Bottleneck in Offline Reinforcement Learning
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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