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
6,899 papers, page 93 of 138
- NeurIPS 2025Scaling Up Parameter Generation: A Recurrent Diffusion Approach
- NeurIPS 2025Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres
- NeurIPS 2025Score-Based Diffusion Modeling for Nonparametric Empirical Bayes in Heteroscedastic Gaussian Mixtures
- NeurIPS 2025Score-informed Neural Operator for Enhancing Ordering-based Causal Discovery
- NeurIPS 2025SCoT: Unifying Consistency Models and Rectified Flows via Straight-Consistent Trajectories
- NeurIPS 2025Sculpting Features from Noise: Reward-Guided Hierarchical Diffusion for Task-Optimal Feature Transformation
- NeurIPS 2025SD-KDE: Score-Debiased Kernel Density Estimation
- NeurIPS 2025Seeds of Structure: Patch PCA Reveals Universal Compositional Cues in Diffusion Models
- NeurIPS 2025Seg2Any: Open-set Segmentation-Mask-to-Image Generation with Precise Shape and Semantic Control
- NeurIPS 2025Seg4Diff: Unveiling Open-Vocabulary Semantic Segmentation in Text-to-Image Diffusion Transformers
- NeurIPS 2025Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
- NeurIPS 2025Self-diffusion for Solving Inverse Problems
- NeurIPS 2025Self-Supervised Direct Preference Optimization for Text-to-Image Diffusion Models
- NeurIPS 2025Self-Supervised Selective-Guided Diffusion Model for Old-Photo Face Restoration
- NeurIPS 2025Semantic and Visual Crop-Guided Diffusion Models for Heterogeneous Tissue Synthesis in Histopathology
- NeurIPS 2025Semantic Surgery: Zero-Shot Concept Erasure in Diffusion Models
- NeurIPS 2025Sequence Modeling with Spectral Mean Flows
- NeurIPS 2025SGCD: Stain-Guided CycleDiffusion for Unsupervised Domain Adaptation of Histopathology Image Classification
- NeurIPS 2025Shallow Diffuse: Robust and Invisible Watermarking through Low-Dim Subspaces in Diffusion Models
- NeurIPS 2025Shallow Flow Matching for Coarse-to-Fine Text-to-Speech Synthesis
- NeurIPS 2025ShoeFit: A New Dataset and Dual-image-stream DiT Framework for Virtual Footwear Try-On
- NeurIPS 2025Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free Lunch
- NeurIPS 2025ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable Generation
- NeurIPS 2025Show-o2: Improved Native Unified Multimodal Models
- NeurIPS 2025Sign-In to the Lottery: Reparameterizing Sparse Training
- NeurIPS 2025Simple Distillation for One-Step Diffusion Models
- NeurIPS 2025Simultaneous Modeling of Protein Conformation and Dynamics via Autoregression
- NeurIPS 2025Single-Step Operator Learning for Conditioned Time-Series Diffusion Models
- NeurIPS 2025Solving Inverse Problems with FLAIR
- NeurIPS 2025SongBloom: Coherent Song Generation via Interleaved Autoregressive Sketching and Diffusion Refinement
- NeurIPS 2025Space Group Equivariant Crystal Diffusion
- NeurIPS 2025Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling
- NeurIPS 2025SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score
- NeurIPS 2025Sparse Diffusion Autoencoder for Test-time Adapting Prediction of Complex Systems
- NeurIPS 2025Sparse Image Synthesis via Joint Latent and RoI Flow
- NeurIPS 2025Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation
- NeurIPS 2025SparseDiT: Token Sparsification for Efficient Diffusion Transformer
- NeurIPS 2025Spectral Analysis of Diffusion Models with Application to Schedule Design
- NeurIPS 2025Spiral: Semantic-Aware Progressive LiDAR Scene Generation and Understanding
- NeurIPS 2025Split Gibbs Discrete Diffusion Posterior Sampling
- NeurIPS 2025SplitFlow: Flow Decomposition for Inversion-Free Text-to-Image Editing
- NeurIPS 2025SPMDM: Enhancing Masked Diffusion Models through Simplifing Sampling Path
- NeurIPS 2025SPRO: Improving Image Generation via Self-Play
- NeurIPS 2025SRSR: Enhancing Semantic Accuracy in Real-World Image Super-Resolution with Spatially Re-Focused Text-Conditioning
- NeurIPS 2025SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization
- NeurIPS 2025Stable Matching with Ties: Approximation Ratios and Learning
- NeurIPS 2025Stable Part Diffusion 4D: Multi-View RGB and Kinematic Parts Video Generation
- NeurIPS 2025StableGuard: Towards Unified Copyright Protection and Tamper Localization in Latent Diffusion Models
- NeurIPS 2025STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
- NeurIPS 2025State Size Independent Statistical Error Bound for Discrete Diffusion Models
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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