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 29 of 30

1401. NeurIPS 2024Stochastic Optimal Control for Diffusion Bridges in Function Spaces
1402. NeurIPS 2024Stochastic Optimal Control Matching
1403. NeurIPS 2024StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation
1404. NeurIPS 2024Stylebreeder: Exploring and Democratizing Artistic Styles through Text-to-Image Models
1405. NeurIPS 2024Stylus: Automatic Adapter Selection for Diffusion Models
1406. NeurIPS 2024SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning
1407. NeurIPS 2024Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning
1408. NeurIPS 2024Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques
1409. NeurIPS 2024SyncTweedies: A General Generative Framework Based on Synchronized Diffusions
1410. NeurIPS 2024Synergistic Dual Spatial-aware Generation of Image-to-text and Text-to-image
1411. NeurIPS 2024T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback
1412. NeurIPS 2024Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation
1413. NeurIPS 2024Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs
1414. NeurIPS 2024Taming Generative Diffusion Prior for Universal Blind Image Restoration
1415. NeurIPS 2024Text-Aware Diffusion for Policy Learning
1416. NeurIPS 2024Text-DiFuse: An Interactive Multi-Modal Image Fusion Framework based on Text-modulated Diffusion Model
1417. NeurIPS 2024TFG: Unified Training-Free Guidance for Diffusion Models
1418. NeurIPS 2024The GAN is dead; long live the GAN! A Modern GAN Baseline
1419. NeurIPS 2024The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Models
1420. NeurIPS 2024Theoretical guarantees in KL for Diffusion Flow Matching
1421. NeurIPS 2024Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models
1422. NeurIPS 2024Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis
1423. NeurIPS 2024Towards Editing Time Series
1424. NeurIPS 2024Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing
1425. NeurIPS 2024Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model
1426. NeurIPS 2024TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation
1427. NeurIPS 2024Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy
1428. NeurIPS 2024Trajectory Diffusion for ObjectGoal Navigation
1429. NeurIPS 2024Trajectory Flow Matching with Applications to Clinical Time Series Modelling
1430. NeurIPS 2024Transfer Learning for Diffusion Models
1431. NeurIPS 2024Transferable Boltzmann Generators
1432. NeurIPS 2024Treeffuser: probabilistic prediction via conditional diffusions with gradient-boosted trees
1433. NeurIPS 2024TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models
1434. NeurIPS 2024U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers
1435. NeurIPS 2024UDPM: Upsampling Diffusion Probabilistic Models
1436. NeurIPS 2024UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks
1437. NeurIPS 2024Understanding and Improving Training-free Loss-based Diffusion Guidance
1438. NeurIPS 2024Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure
1439. NeurIPS 2024Understanding Hallucinations in Diffusion Models through Mode Interpolation
1440. NeurIPS 2024Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement
1441. NeurIPS 2024Unified Guidance for Geometry-Conditioned Molecular Generation
1442. NeurIPS 2024UniFL: Improve Latent Diffusion Model via Unified Feedback Learning
1443. NeurIPS 2024Unifying Generation and Prediction on Graphs with Latent Graph Diffusion
1444. NeurIPS 2024Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image
1445. NeurIPS 2024UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models
1446. NeurIPS 2024Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
1447. NeurIPS 2024Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
1448. NeurIPS 2024Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance
1449. NeurIPS 2024Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation
1450. NeurIPS 2024Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series

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.