Diffusion Models papers, 2023–2026

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.

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

327 papers, page 7 of 7

301. NeurIPS 2023Towards Symmetry-Aware Generation of Periodic Materials
302. NeurIPS 2023Towards Test-Time Refusals via Concept Negation
303. NeurIPS 2023Training Energy-Based Normalizing Flow with Score-Matching Objectives
304. NeurIPS 2023Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis
305. NeurIPS 2023Trans-Dimensional Generative Modeling via Jump Diffusion Models
306. NeurIPS 2023Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters
307. NeurIPS 2023Tree-Rings Watermarks: Invisible Fingerprints for Diffusion Images
308. NeurIPS 2023TWIGMA: A dataset of AI-Generated Images with Metadata From Twitter
309. NeurIPS 2023Uncertainty Quantification via Neural Posterior Principal Components
310. NeurIPS 2023Understanding and Mitigating Copying in Diffusion Models
311. NeurIPS 2023Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation
312. NeurIPS 2023Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry
313. NeurIPS 2023Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
314. NeurIPS 2023UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
315. NeurIPS 2023Unifying GANs and Score-Based Diffusion as Generative Particle Models
316. NeurIPS 2023Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model
317. NeurIPS 2023UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models
318. NeurIPS 2023Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation
319. NeurIPS 2023Unsupervised Semantic Correspondence Using Stable Diffusion
320. NeurIPS 2023Variational Inference with Gaussian Score Matching
321. NeurIPS 2023ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields
322. NeurIPS 2023VideoComposer: Compositional Video Synthesis with Motion Controllability
323. NeurIPS 2023VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
324. NeurIPS 2023Visual Instruction Inversion: Image Editing via Image Prompting
325. NeurIPS 2023Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale
326. NeurIPS 2023When Does Confidence-Based Cascade Deferral Suffice?
327. NeurIPS 2023Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness

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.