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

1,471 papers, page 28 of 30

1351. NeurIPS 2024Regularized Conditional Diffusion Model for Multi-Task Preference Alignment
1352. NeurIPS 2024Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising
1353. NeurIPS 2024ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization
1354. NeurIPS 2024ReplaceAnything3D: Text-Guided Object Replacement in 3D Scenes with Compositional Scene Representations
1355. NeurIPS 2024Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design
1356. NeurIPS 2024Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise
1357. NeurIPS 2024Rethinking Score Distillation as a Bridge Between Image Distributions
1358. NeurIPS 2024Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective
1359. NeurIPS 2024Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation
1360. NeurIPS 2024Retrieval-Augmented Diffusion Models for Time Series Forecasting
1361. NeurIPS 2024Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference
1362. NeurIPS 2024ReVideo: Remake a Video with Motion and Content Control
1363. NeurIPS 2024ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization
1364. NeurIPS 2024SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset
1365. NeurIPS 2024SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification
1366. NeurIPS 2024Scene Graph Disentanglement and Composition for Generalizable Complex Image Generation
1367. NeurIPS 2024SceneCraft: Layout-Guided 3D Scene Generation
1368. NeurIPS 2024SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout
1369. NeurIPS 2024Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing
1370. NeurIPS 2024Schrodinger Bridge Flow for Unpaired Data Translation
1371. NeurIPS 2024Score Distillation via Reparametrized DDIM
1372. NeurIPS 2024Score-based generative models are provably robust: an uncertainty quantification perspective
1373. NeurIPS 2024Score-Optimal Diffusion Schedules
1374. NeurIPS 2024SCube: Instant Large-Scale Scene Reconstruction using VoxSplats
1375. NeurIPS 2024SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-Resolution
1376. NeurIPS 2024Self-Play Fine-tuning of Diffusion Models for Text-to-image Generation
1377. NeurIPS 2024Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations
1378. NeurIPS 2024SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data
1379. NeurIPS 2024SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow
1380. NeurIPS 2024Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors
1381. NeurIPS 2024Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation
1382. NeurIPS 2024SF-V: Single Forward Video Generation Model
1383. NeurIPS 2024Shared Autonomy with IDA: Interventional Diffusion Assistance
1384. NeurIPS 2024SHMT: Self-supervised Hierarchical Makeup Transfer via Latent Diffusion Models
1385. NeurIPS 2024ShowMaker: Creating High-Fidelity 2D Human Video via Fine-Grained Diffusion Modeling
1386. NeurIPS 2024SimGen: Simulator-conditioned Driving Scene Generation
1387. NeurIPS 2024Simple and Effective Masked Diffusion Language Models
1388. NeurIPS 2024Simple and Fast Distillation of Diffusion Models
1389. NeurIPS 2024Simplified and Generalized Masked Diffusion for Discrete Data
1390. NeurIPS 2024Simulation-Free Training of Neural ODEs on Paired Data
1391. NeurIPS 2024Slight Corruption in Pre-training Data Makes Better Diffusion Models
1392. NeurIPS 2024Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention
1393. NeurIPS 2024Solving Inverse Problems via Diffusion Optimal Control
1394. NeurIPS 2024SongCreator: Lyrics-based Universal Song Generation
1395. NeurIPS 2024Sparse High Rank Adapters
1396. NeurIPS 2024SSDiff: Spatial-spectral Integrated Diffusion Model for Remote Sensing Pansharpening
1397. NeurIPS 2024Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics
1398. NeurIPS 2024Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective
1399. NeurIPS 2024Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation
1400. NeurIPS 2024StepbaQ: Stepping backward as Correction for Quantized Diffusion Models

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.