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 24 of 31
- ICLR 2025Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization
- ICLR 2025TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation
- ICLR 2025U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models
- ICLR 2025UIFace: Unleashing Inherent Model Capabilities to Enhance Intra-Class Diversity in Synthetic Face Recognition
- ICLR 2025Underdamped Diffusion Bridges with Applications to Sampling
- ICLR 2025UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models
- ICLR 2025Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers
- ICLR 2025UniGEM: A Unified Approach to Generation and Property Prediction for Molecules
- ICLR 2025UniRestore3D: A Scalable Framework For General Shape Restoration
- ICLR 2025Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
- ICLR 2025Unlocking Point Processes through Point Set Diffusion
- ICLR 2025Variational Diffusion Posterior Sampling with Midpoint Guidance
- ICLR 2025VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control
- ICLR 2025VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning
- ICLR 2025Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement
- ICLR 2025ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler
- ICLR 2025VideoGrain: Modulating Space-Time Attention for Multi-Grained Video Editing
- ICLR 2025ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
- ICLR 2025VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation
- ICLR 2025Visually Guided Decoding: Gradient-Free Hard Prompt Inversion with Language Models
- ICLR 2025VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis
- ICLR 2025Warm Diffusion: Recipe for Blur-Noise Mixture Diffusion Models
- ICLR 2025Wavelet Diffusion Neural Operator
- ICLR 2025What Makes a Good Diffusion Planner for Decision Making?
- ICLR 2025What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?
- ICLR 2025What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models
- ICLR 2025X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios
- ICLR 2025You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs
- ICLR 2025Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data
- ICLR 2025ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning
- ICLR 2025Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection
- ICLR 2024$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States
- ICLR 2024A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality
- ICLR 2024A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models
- ICLR 2024A Variational Perspective on Solving Inverse Problems with Diffusion Models
- ICLR 2024ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process
- ICLR 2024AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
- ICLR 2024Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models
- ICLR 2024Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
- ICLR 2024AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model
- ICLR 2024Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps
- ICLR 2024An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization
- ICLR 2024Analyzing and Improving Optimal-Transport-based Adversarial Networks
- ICLR 2024AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
- ICLR 2024AnyText: Multilingual Visual Text Generation and Editing
- ICLR 2024BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference
- ICLR 2024Bellman Optimal Stepsize Straightening of Flow-Matching Models
- ICLR 2024Bespoke Solvers for Generative Flow Models
- ICLR 2024Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animation
- ICLR 2024Bridging Neural and Symbolic Representations with Transitional Dictionary Learning
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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