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

6,899 papers, page 132 of 138

6551. ICML 2023Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-type Samplers
6552. ICML 2023Revisiting Discriminative vs. Generative Classifiers: Theory and Implications
6553. ICML 2023RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation
6554. ICML 2023Scalable Adaptive Computation for Iterative Generation
6555. ICML 2023Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data
6556. ICML 2023SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation
6557. ICML 2023SE(3) diffusion model with application to protein backbone generation
6558. ICML 2023simple diffusion: End-to-end diffusion for high resolution images
6559. ICML 2023SinDDM: A Single Image Denoising Diffusion Model
6560. ICML 2023SinFusion: Training Diffusion Models on a Single Image or Video
6561. ICML 2023SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process
6562. ICML 2023StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
6563. ICML 2023Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions
6564. ICML 2023TabDDPM: Modelling Tabular Data with Diffusion Models
6565. ICML 2023Thompson Sampling with Diffusion Generative Prior
6566. ICML 2023TIDE: Time Derivative Diffusion for Deep Learning on Graphs
6567. ICML 2023Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models
6568. ICML 2023Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits
6569. ICML 2023Unscented Autoencoder
6570. ICML 2023Unsupervised Out-of-Distribution Detection with Diffusion Inpainting
6571. ICML 2023User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems
6572. ICML 2023Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical Guarantees
6573. NeurIPS 20233D molecule generation by denoising voxel grids
6574. NeurIPS 2023A Diffusion-Model of Joint Interactive Navigation
6575. NeurIPS 2023A generative model of the hippocampal formation trained with theta driven local learning rules
6576. NeurIPS 2023A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
6577. NeurIPS 2023A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence
6578. NeurIPS 2023A Unified Conditional Framework for Diffusion-based Image Restoration
6579. NeurIPS 2023A Unified Framework for U-Net Design and Analysis
6580. NeurIPS 2023AbDiffuser: full-atom generation of in-vitro functioning antibodies
6581. NeurIPS 2023Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs
6582. NeurIPS 2023Adaptive Online Replanning with Diffusion Models
6583. NeurIPS 2023Add and Thin: Diffusion for Temporal Point Processes
6584. NeurIPS 2023Addressing Negative Transfer in Diffusion Models
6585. NeurIPS 2023Adversarial Examples Are Not Real Features
6586. NeurIPS 2023Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
6587. NeurIPS 2023Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback
6588. NeurIPS 2023Ambient Diffusion: Learning Clean Distributions from Corrupted Data
6589. NeurIPS 2023Any-to-Any Generation via Composable Diffusion
6590. NeurIPS 2023AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
6591. NeurIPS 2023Are Diffusion Models Vision-And-Language Reasoners?
6592. NeurIPS 2023ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections
6593. NeurIPS 2023Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow
6594. NeurIPS 2023AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models
6595. NeurIPS 2023Autodecoding Latent 3D Diffusion Models
6596. NeurIPS 2023BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction
6597. NeurIPS 2023Beta Diffusion
6598. NeurIPS 2023Black-box Backdoor Defense via Zero-shot Image Purification
6599. NeurIPS 2023BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing
6600. NeurIPS 2023Block-State Transformers

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.