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
487 papers, page 1 of 10
- ICLR 2025$\text{I}^2\text{AM}$: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps
- ICLR 2025$InterLCM$: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration
- ICLR 20253DGS-Drag: Dragging Gaussians for Intuitive Point-Based 3D Editing
- ICLR 20253DIS: Depth-Driven Decoupled Image Synthesis for Universal Multi-Instance Generation
- ICLR 2025A Geometric Framework for Understanding Memorization in Generative Models
- ICLR 2025A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation
- ICLR 2025A Large-scale Training Paradigm for Graph Generative Models
- ICLR 2025A Periodic Bayesian Flow for Material Generation
- ICLR 2025A Simple Approach to Unifying Diffusion-based Conditional Generation
- ICLR 2025A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation
- ICLR 2025A3D: Does Diffusion Dream about 3D Alignment?
- ICLR 2025Accelerating 3D Molecule Generation via Jointly Geometric Optimal Transport
- ICLR 2025Accelerating Diffusion Transformers with Token-wise Feature Caching
- ICLR 2025ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer
- ICLR 2025ADBM: Adversarial Diffusion Bridge Model for Reliable Adversarial Purification
- ICLR 2025Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models
- ICLR 2025Adding Conditional Control to Diffusion Models with Reinforcement Learning
- ICLR 2025Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control
- ICLR 2025Advancing Graph Generation through Beta Diffusion
- ICLR 2025Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step
- ICLR 2025AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention Disruption
- ICLR 2025Aligned Datasets Improve Detection of Latent Diffusion-Generated Images
- ICLR 2025Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception
- ICLR 2025Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data
- ICLR 2025An Efficient Framework for Crediting Data Contributors of Diffusion Models
- ICLR 2025An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels
- ICLR 2025An Undetectable Watermark for Generative Image Models
- ICLR 2025Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods
- ICLR 2025Anti-Exposure Bias in Diffusion Models
- ICLR 2025ARLON: Boosting Diffusion Transformers with Autoregressive Models for Long Video Generation
- ICLR 2025AssembleFlow: Rigid Flow Matching with Inertial Frames for Molecular Assembly
- ICLR 2025Atlas Gaussians Diffusion for 3D Generation
- ICLR 2025Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models
- ICLR 2025Autoregressive Video Generation without Vector Quantization
- ICLR 2025AvatarGO: Zero-shot 4D Human-Object Interaction Generation and Animation
- ICLR 2025Bayesian Experimental Design Via Contrastive Diffusions
- ICLR 2025Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning
- ICLR 2025Beyond Autoregression: Fast LLMs via Self-Distillation Through Time
- ICLR 2025Bias Mitigation in Graph Diffusion Models
- ICLR 2025BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models
- ICLR 2025Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
- ICLR 2025Boltzmann priors for Implicit Transfer Operators
- ICLR 2025Boosting Latent Diffusion with Perceptual Objectives
- ICLR 2025Both Ears Wide Open: Towards Language-Driven Spatial Audio Generation
- ICLR 2025BrainACTIV: Identifying visuo-semantic properties driving cortical selectivity using diffusion-based image manipulation
- ICLR 2025Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach
- ICLR 2025Build-A-Scene: Interactive 3D Layout Control for Diffusion-Based Image Generation
- ICLR 2025CameraCtrl: Enabling Camera Control for Video Diffusion Models
- ICLR 2025CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models
- ICLR 2025CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models
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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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