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

694 papers, page 7 of 14

301. NeurIPS 2025In Silico Mapping of Visual Categorical Selectivity Across the Whole Brain
302. NeurIPS 2025In-Context Learning of Stochastic Differential Equations with Foundation Inference Models
303. NeurIPS 2025Increasing the Utility of Synthetic Images through Chamfer Guidance
304. NeurIPS 2025Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing
305. NeurIPS 2025Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search
306. NeurIPS 2025Information Theoretic Learning for Diffusion Models with Warm Start
307. NeurIPS 2025Information-Theoretic Discrete Diffusion
308. NeurIPS 2025Informed Correctors for Discrete Diffusion Models
309. NeurIPS 2025Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging Scenes
310. NeurIPS 2025InstanceAssemble: Layout-Aware Image Generation via Instance Assembling Attention
311. NeurIPS 2025IntrinsiX: High-Quality PBR Generation using Image Priors
312. NeurIPS 2025InvFusion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems
313. NeurIPS 2025Is Artificial Intelligence Generated Image Detection a Solved Problem?
314. NeurIPS 2025Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models
315. NeurIPS 2025Is Your Diffusion Model Actually Denoising?
316. NeurIPS 2025ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model
317. NeurIPS 2025Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation
318. NeurIPS 2025Joint Design of Protein Surface and Backbone Using a Diffusion Bridge Model
319. NeurIPS 2025Joint Hierarchical Representation Learning of Samples and Features via Informed Tree-Wasserstein Distance
320. NeurIPS 2025Joint Relational Database Generation via Graph-Conditional Diffusion Models
321. NeurIPS 2025Joint Velocity-Growth Flow Matching for Single-Cell Dynamics Modeling
322. NeurIPS 2025Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration
323. NeurIPS 2025Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning
324. NeurIPS 2025KLASS: KL-Guided Fast Inference in Masked Diffusion Models
325. NeurIPS 2025Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better
326. NeurIPS 2025Kuramoto Orientation Diffusion Models
327. NeurIPS 2025LABridge: Text–Image Latent Alignment Framework via Mean-Conditioned OU Process
328. NeurIPS 2025LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities
329. NeurIPS 2025Large Language Diffusion Models
330. NeurIPS 2025Last-Iterate Convergence of Smooth Regret Matching$^+$ Variants in Learning Nash Equilibria
331. NeurIPS 2025Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving
332. NeurIPS 2025Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
333. NeurIPS 2025LaViDa: A Large Diffusion Model for Vision-Language Understanding
334. NeurIPS 2025LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching
335. NeurIPS 2025Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning
336. NeurIPS 2025Learnable Sampler Distillation for Discrete Diffusion Models
337. NeurIPS 2025Learning 3D Persistent Embodied World Models
338. NeurIPS 2025Learning conformational ensembles of proteins based on backbone geometry
339. NeurIPS 2025Learning Diffusion Models with Flexible Representation Guidance
340. NeurIPS 2025Learning Individual Behavior in Agent-Based Models with Graph Diffusion Networks
341. NeurIPS 2025Learning non-equilibrium diffusions with Schrödinger bridges: from exactly solvable to simulation-free
342. NeurIPS 2025Learning normalized image densities via dual score matching
343. NeurIPS 2025Learning to Generate Human-Human-Object Interactions from Textual Descriptions
344. NeurIPS 2025Learning to Integrate Diffusion ODEs by Averaging the Derivatives
345. NeurIPS 2025Learning World Models for Interactive Video Generation
346. NeurIPS 2025LEDiT: Your Length-Extrapolatable Diffusion Transformer without Positional Encoding
347. NeurIPS 2025Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators
348. NeurIPS 2025LightFair: Towards an Efficient Alternative for Fair T2I Diffusion via Debiasing Pre-trained Text Encoders
349. NeurIPS 2025Linearly Constrained Diffusion Implicit Models
350. NeurIPS 2025Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction

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.