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 5 of 14
- NeurIPS 2026EverAnimate: Minute-Scale Human Animation via Latent Flow Restoration
- NeurIPS 2026Every Measurement, Every Direction, All at Once: Multimodal Flow Matching for Molecules and Spectra
- NeurIPS 2026Everything at Every Scale: Scale-Invariant Diffusion with Continuous Super-Resolution
- NeurIPS 2026Exact Channel Decoupling via Joint Diagonalization and Uniform Splicing for Diffusion Transformer Quantization
- NeurIPS 2026Exact Posterior Score Estimation for Solving Linear Inverse Problems
- NeurIPS 2026Example-Based Spatial Guidance for Training-Free Concept Erasure in Diffusion Models
- NeurIPS 2026Expanding Flow Maps
- NeurIPS 2026Expected Batch Optimal Transport Plans and Consequences for Flow Matching
- NeurIPS 2026Exploring Advertising Manipulation in Diffusion Image Generation
- NeurIPS 2026Exploring MLLM-Diffusion Information Transfer with MetaCanvas
- NeurIPS 2026Extracting Training Data from Diffusion Language Models via Infilling
- NeurIPS 2026ExtraVAR: Stage-Aware RoPE Remapping for Resolution Extrapolation in Visual Autoregressive Models
- NeurIPS 2026Extremely Sparse-View Computed Tomography from 2D Projections via Pose-Aware Diffusion Priors
- NeurIPS 2026F2G-Pose: Geometry-Aware Foundation Feature Lifting for Direct RGB-D Category-Level Object Pose Estimation
- NeurIPS 2026Factored Generative Models through Mechanism Diversity
- NeurIPS 2026FADE: Fractional Anomalous Dynamics Extrapolation for Training-Free Diffusion Transformers Acceleration
- NeurIPS 2026Fast Organic Crystal Structure Prediction with Unit Cell Flow Matching
- NeurIPS 2026FAST-Brain: A Flow-Aligned Spatio-Temporal Surrogate Brain Model
- NeurIPS 2026Fast-dLLM++: Fr\'{e}chet Profile Decoding for Faster Diffusion LLM Inference
- NeurIPS 2026FEAD: Fine-Grained Epipolar Attention Diffusion for Large-Disparity Light Field Spatial Super-Resolution
- NeurIPS 2026Feature Information Dynamics in Diffusion
- NeurIPS 2026Few-Step Cofolding with All-Atom Flow Maps
- NeurIPS 2026Few-Step Diffusion Language Models via Trajectory Self-Distillation
- NeurIPS 2026Fixed-Point Masked Generative Modeling
- NeurIPS 2026FLASH: Efficient Visuomotor Policy via Sparse Sampling
- NeurIPS 2026FlashControl: One-Step Controllable Generator via Distillation-Friendly Single-Stream Teachers.
- NeurIPS 2026FlashPlanner: Real-Time Goal-Conditioned Flow-Matching Planning for Autonomous Driving with Online RL Fine-Tuning
- NeurIPS 2026Flexible Flows for Biological Sequence Design
- NeurIPS 2026Flow Map Denoisers: Traversing the Distortion-Perception Plane for Inverse Problems
- NeurIPS 2026Flow Matching for Offline Reinforcement Learning with Discrete Actions
- NeurIPS 2026Flow Matching from Viewpoint of Proximal Operators
- NeurIPS 2026Flow Matching Policy Optimization with Mirror Descent and Entropy Constraints
- NeurIPS 2026Flow Matching Reinforcement Learning via SDE Inference
- NeurIPS 2026Flow Matching with In-Context Priors for Out-of-Distribution Brain Dynamics
- NeurIPS 2026Flow Mismatching: Unsupervised Anomaly Detection via Velocity Discrepancies in Flow Matching Models
- NeurIPS 2026Flow-Corrected Shape Optimization: Taming Manifold Drift in High-Dimensional 3D Models
- NeurIPS 2026Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field
- NeurIPS 2026Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models
- NeurIPS 2026Flow-Guided Target-Space Alignment via Path Consistency
- NeurIPS 2026Flow+Diff: Unifying Flow and Diffusion Representations for Multivariate Time Series Anomaly Detection
- NeurIPS 2026FlowBatt: Flow Matching for Probabilistic Battery Degradation Prediction
- NeurIPS 2026Flowette: Flow Matching with Graphette Priors for Graph Generation
- NeurIPS 2026FLUX: Geometry-Aware Longitudinal Flow Matching with Mixture of Experts
- NeurIPS 2026FluxFlow: Conservative Flow-Matching for Astronomical Image Super-Resolution
- NeurIPS 2026FluxLite: Inference-Time Proposal Control for Discrete Diffusion Models
- NeurIPS 2026FMMI: Flow Matching Mutual Information Estimation
- NeurIPS 2026Focused Forcing: Content-Aware Per-Frame KV Selection for Efficient Autoregressive Video Diffusion
- NeurIPS 2026Follow the Mean: Reference-Guided Flow Matching
- NeurIPS 2026FoMo: Forking Moment in Generative Trajectory as a Perceptual Distance
- NeurIPS 2026ForceFlow: Learning to Feel and Act via Contact-Driven Flow Matching
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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 · foundation models 536
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