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
6,899 papers, page 123 of 138
- NeurIPS 2024PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference
- NeurIPS 2024Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors
- NeurIPS 2024ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing
- NeurIPS 2024Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models
- NeurIPS 2024PromptFix: You Prompt and We Fix the Photo
- NeurIPS 2024Provable Posterior Sampling with Denoising Oracles via Tilted Transport
- NeurIPS 2024Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction
- NeurIPS 2024PTQ4DiT: Post-training Quantization for Diffusion Transformers
- NeurIPS 2024PuLID: Pure and Lightning ID Customization via Contrastive Alignment
- NeurIPS 2024PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics
- NeurIPS 2024QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation
- NeurIPS 2024RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees
- NeurIPS 2024RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models
- NeurIPS 2024Reconstructing the Image Stitching Pipeline: Integrating Fusion and Rectangling into a Unified Inpainting Model
- NeurIPS 2024RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
- NeurIPS 2024ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration
- NeurIPS 2024RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance
- NeurIPS 2024ReFIR: Grounding Large Restoration Models with Retrieval Augmentation
- NeurIPS 2024Regularized Conditional Diffusion Model for Multi-Task Preference Alignment
- NeurIPS 2024Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising
- NeurIPS 2024ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization
- NeurIPS 2024ReplaceAnything3D: Text-Guided Object Replacement in 3D Scenes with Compositional Scene Representations
- NeurIPS 2024Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design
- NeurIPS 2024Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise
- NeurIPS 2024Rethinking Score Distillation as a Bridge Between Image Distributions
- NeurIPS 2024Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective
- NeurIPS 2024Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation
- NeurIPS 2024Retrieval-Augmented Diffusion Models for Time Series Forecasting
- NeurIPS 2024Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference
- NeurIPS 2024ReVideo: Remake a Video with Motion and Content Control
- NeurIPS 2024ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization
- NeurIPS 2024SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset
- NeurIPS 2024SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification
- NeurIPS 2024Scene Graph Disentanglement and Composition for Generalizable Complex Image Generation
- NeurIPS 2024SceneCraft: Layout-Guided 3D Scene Generation
- NeurIPS 2024SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout
- NeurIPS 2024Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing
- NeurIPS 2024Schrodinger Bridge Flow for Unpaired Data Translation
- NeurIPS 2024Score Distillation via Reparametrized DDIM
- NeurIPS 2024Score-based generative models are provably robust: an uncertainty quantification perspective
- NeurIPS 2024Score-Optimal Diffusion Schedules
- NeurIPS 2024SCube: Instant Large-Scale Scene Reconstruction using VoxSplats
- NeurIPS 2024SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-Resolution
- NeurIPS 2024Self-Play Fine-tuning of Diffusion Models for Text-to-image Generation
- NeurIPS 2024Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations
- NeurIPS 2024SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data
- NeurIPS 2024SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow
- NeurIPS 2024Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors
- NeurIPS 2024Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation
- NeurIPS 2024SF-V: Single Forward Video Generation Model
Ask about this trend from Claude or Cursor
Connect the Paperlist MCP and your assistant can pull the numbers on this page while you draft a survey, pick a direction or plan a submission: papers per year and venue, growth, the fastest-rising sub-themes and representative papers, shaped around your question.
Copy this prompt into your assistant
Use paperlist to show how Diffusion Models papers grew at NeurIPS from 2023 to 2026, and which year jumped the most.
Tool the assistant calls: get_topic_stats {"topic": "diffusion-models"}
Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)
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.
More in Deep Learning
- Deep learning · generative models and autoencoders 4,314
- Deep learning · large language models 2,334
- Deep learning · self supervised learning 1,958
- Deep learning · graph neural networks 1,648
- Deep learning · optimization 953
- 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