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 7 of 14
- ICLR 2026GHOST: Hallucination-Inducing Image Generation for Multimodal LLMs
- ICLR 2026GLASS Flows: Efficient Inference for Reward Alignment of Flow and Diffusion Models
- ICLR 2026Global and Local Topology-Aware Graph Generation via Dual Conditioning Diffusion
- ICLR 2026GlobeDiff: State Diffusion Process for Partial Observability in Multi-Agent System
- ICLR 2026GoldenStart: Q-Guided Priors and Entropy Control for Distilling Flow Policies
- ICLR 2026Gradient-Aligned Calibration for Post-Training Quantization of Diffusion Models
- ICLR 2026Graph Diffusion Transformers are In-Context Molecular Designers
- ICLR 2026Guidance Matters: Rethinking the Evaluation Pitfall for Text-to-Image Generation
- ICLR 2026Guidance Watermarking for Diffusion Models
- ICLR 2026Guided Flow Policy: Learning from High-Value Actions in Offline Reinforcement Learning
- ICLR 2026H$^3$DP: Triply‑Hierarchical Diffusion Policy for Visuomotor Learning
- ICLR 2026Half-order Fine-Tuning for Diffusion Model: A Recursive Likelihood Ratio Optimizer
- ICLR 2026Harpoon: Generalised Manifold Guidance for Conditional Tabular Diffusion
- ICLR 2026HiCache: A Plug-in Scaled-Hermite Upgrade for Taylor-Style Cache-then-Forecast Diffusion Acceleration
- ICLR 2026Hierarchical Entity-centric Reinforcement Learning with Factored Subgoal Diffusion
- ICLR 2026Hierarchical Semantic-Acoustic Modeling via Semi-Discrete Residual Representations for Expressive End-to-End Speech Synthesis
- ICLR 2026Hierarchy Decoding: A Training-free Parallel Decoding Strategy for Diffusion Large Language Models
- ICLR 2026High-dimensional Mean-Field Games by Particle-based Flow Matching
- ICLR 2026HiGS: History-Guided Sampling for Plug-and-Play Enhancement of Diffusion Models
- ICLR 2026HOG-Diff: Higher-Order Guided Diffusion for Graph Generation
- ICLR 2026Horizon Imagination: Efficient On-Policy Rollout in Diffusion World Models
- ICLR 2026Hot Fuzz: Temperature-Tunable Composition of Diffusion models with Fuzzy Logic
- ICLR 2026HOTA: Hamiltonian framework for Optimal Transport Advection
- ICLR 2026Hyperspherical Latents Improve Continuous-Token Autoregressive Generation
- ICLR 2026I-DRUID: Layout to image generation via instance-disentangled representation and unpaired data
- ICLR 2026IC-Custom: Diverse Image Customization via In-Context Learning
- ICLR 2026ICDiffAD: Implicit Conditioning Diffusion Model for Time Series Anomaly Detection
- ICLR 2026iFusion: Integrating Dynamic Interest Streams via Diffusion Model for Click-Through Rate Prediction
- ICLR 2026Image Can Bring Your Memory Back: A Novel Multi-Modal Guided Attack against Image Generation Model Unlearning
- ICLR 2026Implicit Regularisation in Diffusion Models: An Algorithm-Dependent Generalisation Analysis
- ICLR 2026Improved Adversarial Diffusion Compression for Real-World Video Super-Resolution
- ICLR 2026Improved Object-Centric Diffusion Learning with Registers and Contrastive Alignment
- ICLR 2026Improving 2D Diffusion Models for 3D Medical Imaging with Inter‑Slice Consistent Stochasticity
- ICLR 2026Improving Autoregressive Video Modeling with History Understanding
- ICLR 2026Improving Classifier-Free Guidance in Masked Diffusion: Low-Dim Theoretical Insights with High-Dim Impact
- ICLR 2026Improving Diffusion Models for Class-imbalanced Training Data via Capacity Manipulation
- ICLR 2026Improving Discrete Diffusion Unmasking Policies Beyond Explicit Reference Policies
- ICLR 2026Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization
- ICLR 2026Incomplete Data, Complete Dynamics: A Diffusion Approach
- ICLR 2026Inference-time scaling of diffusion models through classical search
- ICLR 2026Inference-Time Scaling of Discrete Diffusion Models via Importance Weighting and Optimal Proposal Design
- ICLR 2026InfoBridge: Mutual Information estimation via Bridge Matching
- ICLR 2026Information Estimation with Discrete Diffusion
- ICLR 2026Inpainting-Guided Policy Optimization for Diffusion Large Language Models
- ICLR 2026Intention-Conditioned Flow Occupancy Models
- ICLR 2026Interaction Field Matching: Overcoming Limitations of Electrostatic Models
- ICLR 2026Interpolation-Based Conditioning of Flow Matching Models for Bioisosteric Ligand Design
- ICLR 2026Inverse Virtual Try-On: Generating Multi-Category Product-Style Images from Clothed Individuals
- ICLR 2026Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design
- ICLR 2026JavisDiT++: Unified Modeling and Optimization for Joint Audio-Video Generation
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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