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

2,078 papers, page 31 of 42

1501. NeurIPS 2025D-VST: Diffusion Transformer for Pathology-Correct Tone-Controllable Cross-Dye Virtual Staining of Whole Slide Images
1502. NeurIPS 2025d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning
1503. NeurIPS 2025DCI: Dual-Conditional Inversion for Boosting Diffusion-Based Image Editing
1504. NeurIPS 2025DEAL: Diffusion Evolution Adversarial Learning for Sim-to-Real Transfer
1505. NeurIPS 2025DeblurDiff: Real-Word Image Deblurring with Generative Diffusion Models
1506. NeurIPS 2025Decomposing stimulus-specific sensory neural information via diffusion models
1507. NeurIPS 2025Deep Compositional Phase Diffusion for Long Motion Sequence Generation
1508. NeurIPS 2025Deep learning for continuous-time stochastic control with jumps
1509. NeurIPS 2025Denoising Trajectory Biases for Zero-Shot AI-Generated Image Detection
1510. NeurIPS 2025DenseDPO: Fine-Grained Temporal Preference Optimization for Video Diffusion Models
1511. NeurIPS 2025Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-based Decoding
1512. NeurIPS 2025DEXTER: Diffusion-Guided EXplanations with TExtual Reasoning for Vision Models
1513. NeurIPS 2025DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration
1514. NeurIPS 2025DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks
1515. NeurIPS 2025DiCo: Revitalizing ConvNets for Scalable and Efficient Diffusion Modeling
1516. NeurIPS 2025Diff-ICMH: Harmonizing Machine and Human Vision in Image Compression with Generative Prior
1517. NeurIPS 2025DiffBreak: Is Diffusion-Based Purification Robust?
1518. NeurIPS 2025DiffE2E: Rethinking End-to-End Driving with a Hybrid Diffusion-Regression-Classification Policy
1519. NeurIPS 2025Differentiable Generalized Sliced Wasserstein Plans
1520. NeurIPS 2025DiffEye: Diffusion-Based Continuous Eye-Tracking Data Generation Conditioned on Natural Images
1521. NeurIPS 2025DiffLiG: Diffusion-enhanced Liquid Graph with Attention Propagation for Grid-to-Station Precipitation Correction
1522. NeurIPS 2025Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing
1523. NeurIPS 2025Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models
1524. NeurIPS 2025Diffusion Beats Autoregressive in Data-Constrained Settings
1525. NeurIPS 2025Diffusion Classifiers Understand Compositionality, but Conditions Apply
1526. NeurIPS 2025Diffusion Feature Field for Text-based 3D Editing with Gaussian Splatting
1527. NeurIPS 2025Diffusion Federated Dataset
1528. NeurIPS 2025Diffusion Generative Modeling on Lie Group Representations
1529. NeurIPS 2025Diffusion Guided Adversarial State Perturbations in Reinforcement Learning
1530. NeurIPS 2025Diffusion Model as a Noise-Aware Latent Reward Model for Step-Level Preference Optimization
1531. NeurIPS 2025Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive
1532. NeurIPS 2025Diffusion Models Meet Contextual Bandits
1533. NeurIPS 2025Diffusion on Demand: Selective Caching and Modulation for Efficient Generation
1534. NeurIPS 2025Diffusion Transformers as Open-World Spatiotemporal Foundation Models
1535. NeurIPS 2025Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification
1536. NeurIPS 2025Diffusion Tree Sampling: Scalable inference‑time alignment of diffusion models
1537. NeurIPS 2025Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics
1538. NeurIPS 2025Diffusion-Classifier Synergy: Reward-Aligned Learning via Mutual Boosting Loop for FSCIL
1539. NeurIPS 2025Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation
1540. NeurIPS 2025Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation
1541. NeurIPS 2025Diffusion-Guided Graph Data Augmentation
1542. NeurIPS 2025Dimension-free Score Matching and Time Bootstrapping for Diffusion Models
1543. NeurIPS 2025DINGO: Constrained Inference for Diffusion LLMs
1544. NeurIPS 2025DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data
1545. NeurIPS 2025Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention
1546. NeurIPS 2025DISCO: DISCrete nOise for Conditional Control in Text-to-Image Diffusion Models
1547. NeurIPS 2025Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation
1548. NeurIPS 2025Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees
1549. NeurIPS 2025Discrete Neural Flow Samplers with Locally Equivariant Transformer
1550. NeurIPS 2025Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling

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.