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
661 papers, page 7 of 14
- NeurIPS 2026How Diffusion Models Memorize
- NeurIPS 2026How well behaved is finite dimensional Diffusion Maps embedding?
- NeurIPS 2026Hydra-DP3: Frequency-Aware Right-Sizing of 3D Diffusion Policies for Visuomotor Control
- NeurIPS 2026HyFAD: Hybrid Time-Frequency Diffusion with Frequency-Aware Embedding for Time Series Imputation
- NeurIPS 2026Hypergraph Generation via Structured Stochastic Diffusion
- NeurIPS 2026Hypergraph Generation with Latent Diffusion
- NeurIPS 2026HyperSkill: Multi-Modal Skill Learning on the Unit Hypersphere
- NeurIPS 2026I2V-DETACH: Source Grounding Detachment for Unauthorized Image-to-Video Generation
- NeurIPS 2026IdealCache: Rethinking Cache Scheduling in Diffusion Transformers via Ideal Trajectories
- NeurIPS 2026Improving Diffusion Posterior Samplers with Lagged Temporal Corrections for Image Restoration
- NeurIPS 2026Improving Function Space Flow Matching with Kernel Optimal Transport
- NeurIPS 2026In-Context Learning for Remote Sensing Vision: A Semantic-Aware Rotation-Robust Diffusion Framework
- NeurIPS 2026Inference-Time Refinement Closes the Synthetic-Real Gap in Tabular Diffusion
- NeurIPS 2026Inference-Time Self-Aligned Drifting for Few-Step Flow Matching
- NeurIPS 2026Inferring how internal brain state shapes neural responses with state-dependent diffusion models
- NeurIPS 2026JaSpec-LID: Local Intrinsic Dimension Estimation via Jacobian Spectra of ODE-based Generative Models
- NeurIPS 2026Joint EM Image Super-Resolution and Segmentation with Semantic and Structural Priors
- NeurIPS 2026Keep It CALM: Analyzing the Limits of Global Unsafety in Text-to-Image Generation
- NeurIPS 2026Kernel-Gradient Drifting Models
- NeurIPS 2026Kinetic-Optimal Scheduling with Moment Correction for Metric-Induced Discrete Flow Matching in Zero-Shot Text-to-Speech
- NeurIPS 2026Koopman Generative Operators for Efficient Probabilistic Time-Series Forecasting
- NeurIPS 2026L-Flow: Longitudinal Flow Matching for Progression-Aware Speech Biomarker Modeling
- NeurIPS 2026L2P: Unlocking Latent Potential for Pixel Generation
- NeurIPS 2026LAFP: Preserving Latent Action Structure in Latent Policy Learning via Flow Matching
- NeurIPS 2026LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling
- NeurIPS 2026Laplacian Heads Improve Transformers by Smoothing Token Representations
- NeurIPS 2026Latent Generative Solvers for Generalizable Long-Term Physics Simulation
- NeurIPS 2026Latent Motion Alignment for Video Diffusion
- NeurIPS 2026Latent Process Generator Matching
- NeurIPS 2026Latent Refinement Decoding: Enhancing Diffusion Language Models by Refining Belief States
- NeurIPS 2026Latent Riemannian Flow Matching for Geometry-Grounded 3D Foundation Models
- NeurIPS 2026Layout Before Pixels: Topology-Anchored Transcriptome-to-Histology Generation
- NeurIPS 2026LCD$^3$: Layout-Conditioned Diffusion for Dataset Distillation in Object Detection
- NeurIPS 2026Learn from Your Mistakes: Self-Correcting Masked Diffusion Models
- NeurIPS 2026Learn from your own latents and not from tokens: A sample-complexity theory
- NeurIPS 2026Learning a Maximum Entropy Model for Visual Textures using Diffusion
- NeurIPS 2026Learning Cultural Vectors for Cross-Cultural Generation
- NeurIPS 2026Learning Domain Trajectories with Flow Matching for Gradual Domain Adaptation
- NeurIPS 2026Learning Energy-Based Models from Stochastic Interpolants using Spatiotemporal Differences
- NeurIPS 2026Learning Generative Dynamics for 3D Molecule Generation via Sequential Neuro-Symbolic Constraints
- NeurIPS 2026Learning Hierarchical Forward Processes For Discrete Diffusion Language Models
- NeurIPS 2026Learning Motion-Appearance Coupling Priors for Solving Video Inverse Problems
- NeurIPS 2026Learning Reach-Set Geometry for Tighter Probabilistic Neural Network Verification
- NeurIPS 2026Learning to Solve Generative ODEs Beyond the Linear Span
- NeurIPS 2026Learning Unbiased Permutations via Flow Matching
- NeurIPS 2026Learning Visual Feature-Based World Models via Residual Latent Action
- NeurIPS 2026Learning When to Denoise: Optimizing Asynchronous Schedules for Latent Diffusion
- NeurIPS 2026LENS: Low-Frequency Eigen Noise Shaping for Efficient Diffusion Sampling
- NeurIPS 2026Less Supervision, Better Generalization: Weakly Supervised Fake Region Localization in Diffusion-Edited Images
- NeurIPS 2026Limits and Potential of Score-Based Data Valuation: Redundancy, Complementarity, and Non-Monotonicity
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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