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
1,527 papers, page 6 of 31
- ICLR 2026Flow of Spans: Generalizing Language Models to Dynamic Span-Vocabulary via GFlowNets
- ICLR 2026Flow Straight and Fast in Hilbert Space: Functional Rectified Flow
- ICLR 2026Flow-Based Single-Step Completion for Efficient and Expressive Policy Learning
- ICLR 2026Flow-Disentangled Feature Importance
- ICLR 2026Flow2GAN: Hybrid Flow Matching and GAN with Multi-Resolution Network for One-/Two-step High-Fidelity Audio Generation
- ICLR 2026FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing
- ICLR 2026FlowBind: Efficient Any-to-Any Generation with Bidirectional Flows
- ICLR 2026FlowCast: Advancing Precipitation Nowcasting with Conditional Flow Matching
- ICLR 2026FlowCast: Trajectory Forecasting for Scalable Zero-Cost Speculative Flow Matching
- ICLR 2026FLOWER: A Flow-Matching Solver for Inverse Problems
- ICLR 2026FMIP: Joint Continuous-Integer Flow For Mixed-Integer Linear Programming
- ICLR 2026Follow-Your-Preference: Towards Preference-Aligned Image Inpainting
- ICLR 2026Foresight Diffusion: Improving Sampling Consistency in Predictive Diffusion Models
- ICLR 2026Forget Many, Forget Right: Scalable and Precise Concept Unlearning in Diffusion Models
- ICLR 2026Forward-Learned Discrete Diffusion: Learning how to noise to denoise faster
- ICLR 2026FragFM: Hierarchical Framework for Efficient Molecule Generation via Fragment-Level Discrete Flow Matching
- ICLR 2026Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Model
- ICLR 2026Free Lunch for Stabilizing Rectified Flow Inversion
- ICLR 2026FreeAdapt: Unleashing Diffusion Priors for Ultra-High-Definition Image Restoration
- ICLR 2026From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization
- ICLR 2026From Prediction to Perfection: Introducing Refinement to Autoregressive Image Generation
- ICLR 2026From Predictors to Samplers via the Training Trajectory
- ICLR 2026FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models
- ICLR 2026FSD-CAP: Fractional Subgraph Diffusion with Class-Aware Propagation for Graph Feature Imputation
- ICLR 2026FullPart: Generating each 3D Part at Full Resolution
- ICLR 2026Functional MRI Time Series Generation via Wavelet-Based Image Transform and Spectral Flow Matching for Brain Disorder Identification
- ICLR 2026G4Splat: Geometry-Guided Gaussian Splatting with Generative Prior
- ICLR 2026GarmentGPT: Compositional Garment Pattern Generation via Discrete Latent Tokenization
- ICLR 2026GAS: Improving Discretization of Diffusion ODEs via Generalized Adversarial Solver
- ICLR 2026Gauge Flow Matching: Efficient Constrained Generative Modeling over General Convex Set and Beyond
- ICLR 2026GDR-learners: Orthogonal Learning of Generative Models for Potential Outcomes
- ICLR 2026gen2seg: Generative Models Enable Generalizable Instance Segmentation
- ICLR 2026GenCompositor: Generative Video Compositing with Diffusion Transformer
- ICLR 2026GenCP: Towards Generative Modeling Paradigm of Coupled physics
- ICLR 2026GenDR: Lighten Generative Detail Restoration
- ICLR 2026Generalised Flow Maps for Few-Step Generative Modelling on Riemannian Manifolds
- ICLR 2026Generalization of Diffusion Models Arises with a Balanced Representation Space
- ICLR 2026Generating Directed Graphs with Dual Attention and Asymmetric Encoding
- ICLR 2026Generating metamers of human scene understanding
- ICLR 2026Generative Blocks World: Moving Things Around in Pictures
- ICLR 2026Generative Diffusion Prior Distillation for Long-Context Knowledge Transfer
- ICLR 2026Generative Human Geometry Distribution
- ICLR 2026Generative Modeling from Black-Box Corruptions via Self-Consistent Stochastic Interpolants
- ICLR 2026Generative View Stitching
- ICLR 2026Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation
- ICLR 2026Geometric Graph Neural Diffusion for Stable Molecular Dynamics
- ICLR 2026Geometric Image Editing via Effects-Sensitive In-Context Inpainting with Diffusion Transformers
- ICLR 2026Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling
- ICLR 2026Geometry-aware Policy Imitation
- ICLR 2026GGBall: Graph Generative Model on Poincaré Ball
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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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