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 6 of 14

251. NeurIPS 2025From stability of Langevin diffusion to convergence of proximal MCMC for non-log-concave sampling
252. NeurIPS 2025FSI-Edit: Frequency and Stochasticity Injection for Flexible Diffusion-Based Image Editing
253. NeurIPS 2025FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities
254. NeurIPS 2025Functional Matching of Logic Subgraphs: Beyond Structural Isomorphism
255. NeurIPS 2025Fuse2Match: Training-Free Fusion of Flow, Diffusion, and Contrastive Models for Zero-Shot Semantic Matching
256. NeurIPS 2025GenColor: Generative and Expressive Color Enhancement with Pixel-Perfect Texture Preservation
257. NeurIPS 2025GeneFlow: Translation of Single-cell Gene Expression to Histopathological Images via Rectified Flow
258. NeurIPS 2025GeneMAN: Generalizable Single-Image 3D Human Reconstruction from Multi-Source Human Data
259. NeurIPS 2025Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations
260. NeurIPS 2025Generating Informative Samples for Risk-Averse Fine-Tuning of Downstream Tasks
261. NeurIPS 2025Generation as Search Operator for Test-Time Scaling of Diffusion-based Combinatorial Optimization
262. NeurIPS 2025Generative Data Augmentation via Diffusion Distillation, Adversarial Alignment, and Importance Reweighting
263. NeurIPS 2025Generative diffusion for perceptron problems: statistical physics analysis and efficient algorithms
264. NeurIPS 2025Generative Distribution Embeddings
265. NeurIPS 2025Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings
266. NeurIPS 2025Generative Perception of Shape and Material from Differential Motion
267. NeurIPS 2025Generative Pre-trained Autoregressive Diffusion Transformer
268. NeurIPS 2025Generative Trajectory Stitching through Diffusion Composition
269. NeurIPS 2025Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency
270. NeurIPS 2025GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning
271. NeurIPS 2025GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters
272. NeurIPS 2025GeoRemover: Removing Objects and Their Causal Visual Artifacts
273. NeurIPS 2025GeoVideo: Introducing Geometric Regularization into Video Generation Model
274. NeurIPS 2025GLID$^2$E: A Gradient-Free Lightweight Fine-tune Approach for Discrete Biological Sequence Design
275. NeurIPS 2025Go With the Flow: Fast Diffusion for Gaussian Mixture Models
276. NeurIPS 2025GOATex: Geometry & Occlusion-Aware Texturing
277. NeurIPS 2025GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection
278. NeurIPS 2025GoT: Unleashing Reasoning Capability of MLLM for Visual Generation and Editing
279. NeurIPS 2025Gradient Variance Reveals Failure Modes in Flow-Based Generative Models
280. NeurIPS 2025Graph Diffusion that can Insert and Delete
281. NeurIPS 2025Grasp2Grasp: Vision-Based Dexterous Grasp Translation via Schrödinger Bridges
282. NeurIPS 2025Greed is Good: A Unifying Perspective on Guided Generation
283. NeurIPS 2025Guided Diffusion Sampling on Function Spaces with Applications to PDEs
284. NeurIPS 2025GuideFlow3D: Optimization-Guided Rectified Flow For Appearance Transfer
285. NeurIPS 2025HAODiff: Human-Aware One-Step Diffusion via Dual-Prompt Guidance
286. NeurIPS 2025Heterogeneous Diffusion Structure Inference for Network Cascade
287. NeurIPS 2025Hierarchical Koopman Diffusion: Fast Generation with Interpretable Diffusion Trajectory
288. NeurIPS 2025High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction
289. NeurIPS 2025High-Order Flow Matching: Unified Framework and Sharp Statistical Rates
290. NeurIPS 2025HOI-Dyn: Learning Interaction Dynamics for Human-Object Motion Diffusion
291. NeurIPS 2025HollowFlow: Efficient Sample Likelihood Evaluation using Hollow Message Passing
292. NeurIPS 2025How to build a consistency model: Learning flow maps via self-distillation
293. NeurIPS 2025IllumiCraft: Unified Geometry and Illumination Diffusion for Controllable Video Generation
294. NeurIPS 2025Image as a World: Generating Interactive World from Single Image via Panoramic Video Generation
295. NeurIPS 2025Image Editing As Programs with Diffusion Models
296. NeurIPS 2025Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Linear Extrapolation
297. NeurIPS 2025Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking
298. NeurIPS 2025Improving Progressive Generation with Decomposable Flow Matching
299. NeurIPS 2025Improving the Euclidean Diffusion Generation of Manifold Data by Mitigating Score Function Singularity
300. NeurIPS 2025Improving Video Generation with Human Feedback

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.