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
728 papers, page 5 of 15
- ICML 2026Entropy-Aware Dynamic KV Cache Sparsification for Autoregressive Image Generation and Editing
- ICML 2026Envisioning Beyond the Few: Disentangled Semantics and Primitives for Few-Shot Atypical Layout-to-Image Generation
- ICML 2026EPiC: Efficient Video Camera Control Learning with Precise Anchor-Video Guidance
- ICML 2026Episodic Memory-Guided Controllable Experience Synthesis for Reinforcement Learning
- ICML 2026Epistemic Uncertainty Quantification for Pre-trained VLMs via Riemannian Flow Matching
- ICML 2026Equivariant Latent Alignment via Flow Matching under Group Symmetries
- ICML 2026Erased but Not Forgotten: How Backdoors Compromise Concept Erasure
- ICML 2026Error Analysis of Discrete Flow with Generator Matching
- ICML 2026Error Propagation Mechanisms and Compensation Strategies for Quantized Diffusion Models
- ICML 2026Esoteric Language Models: A Family of Any-Order Diffusion LLMs
- ICML 2026Evaluating the Representation Space of Diffusion Models via Self-Supervised Principles
- ICML 2026Every Step Counts: Decoding Trajectories as Authorship Fingerprints of dLLMs
- ICML 2026Exploring and Exploiting Stability in Latent Flow Matching
- ICML 2026Exploring Data-Free LoRA Transferability for Video Diffusion Models
- ICML 2026Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance
- ICML 2026Exposing Hidden Biases in Text-to-Image Models via Automated Prompt Search
- ICML 2026Factored Classifier-Free Guidance
- ICML 2026FAIL: Flow Matching Adversarial Imitation Learning for Image Generation
- ICML 2026FAIR-Calib: Frontier-Aware Instability-Reweighted Calibration for Post-Training Quantization of Diffusion Large Language Models
- ICML 2026FaPS: A General and Fast Training Method for Diffusion Models
- ICML 2026Fast and Highly Expressive Policy Learning for Offline Reinforcement Learning via Bootstrapped Flow Q-Learning
- ICML 2026Fast and Scalable Analytical Diffusion
- ICML 2026Fast Byte Latent Transformer
- ICML 2026FAST-AR: Fast Autoregressive Video Diffusion and World Models with Temporal Cache Compression and Sparse Attention
- ICML 2026FedPDG: Prediction Discrepancy–Guided Data Generation for Heterogeneous Federated Learning
- ICML 2026FeRA: Frequency-Energy Constrained Routing for Effective Diffusion Adaptation Fine-Tuning
- ICML 2026Finding DoRI: Discovery of Retained Images in Diffusion Models
- ICML 2026Fine-Tuning Masked Diffusion for Provable Self-Correction
- ICML 2026Fisher-Preserving Guidance: Training-Free Manifold Constraints for Safe Diffusion Control
- ICML 2026FLAC: Maximum Entropy RL via Kinetic Energy Regularized Bridge Matching
- ICML 2026FLAG: Foundation model representation with Latent diffusion Alignment via Graph for spatial gene expression prediction
- ICML 2026Flash-GRPO: Efficient Alignment for Video Diffusion via One-Step Policy Optimization
- ICML 2026Flash-VAED: Plug-and-Play VAE Decoders for Efficient Video Generation
- ICML 2026FlashBlock: Attention Caching for Efficient Long-Context Block Diffusion
- ICML 2026Flex-Forcing: Towards a Unified Autoregressive and Bidirectional Video Diffusion Model
- ICML 2026Flexibility-Aware Geometric Latent Diffusion for Full-Atom Peptide Design
- ICML 2026FlexiFlow: decomposable flow matching for generation of flexible molecular ensemble
- ICML 2026Flow for Future: Geometric SE(3)-Equivariant Flow Matching for 3D Trajectory Prediction
- ICML 2026Flow Matching Calibration for Simulation-Based Inference under Model Misspecification
- ICML 2026Flow Sampling : Learning to Sample from Unnormalized Densities via Denoising Conditional Processes
- ICML 2026Flow-Based Density Ratio Estimation for Intractable Distributions with Applications in Genomics
- ICML 2026FlowMAP: Flow Matching for Generalizable Agent Planning
- ICML 2026FlowPET: Physics-Informed Symplectic Flow Matching for Low-Count PET Reconstruction
- ICML 2026FocalPolicy: Frequency-Optimized Chunking and Locally Anchored Flow Matching for Coherent Visuomotor Policy
- ICML 2026FOCUS: DLLMs Know How to Tame Their Compute Bound
- ICML 2026Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking
- ICML 2026Forward-KL Convergence of Time-Inhomogeneous Langevin Diffusions
- ICML 2026Foundation VAE for CT Reconstruction, Augmentation, and Generation
- ICML 2026FourTune: Towards Fully 4-Bit Efficient Post-Training for Diffusion Models
- ICML 2026FreeText: Training-Free Text Rendering via Attention Localization and Spectral Glyph Injection
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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