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

728 papers, page 14 of 15

651. ICML 2026Towards Generative Graph Matching for Graph Edit Distance Computation
652. ICML 2026Towards Seed-Robust Safety Alignment in Text-to-Image Models
653. ICML 2026Towards Sub-Second Molecular Docking as a Structural Primitive: A Quantized Consistency Diffusion Framework
654. ICML 2026Towards Trustworthy and Identifiable Virtual Face Generation
655. ICML 2026TPGDiff : Hierarchical Triple-Prior Guided Diffusion for Image Restoration
656. ICML 2026Training Diffusion Language Models for Black-Box Optimization
657. ICML 2026Training-Free Adaptation of Diffusion Models via Doob's $h$-Transform
658. ICML 2026Training-Free Bayesian Filtering with Generative Emulators
659. ICML 2026Training-Free Coverless Multi-Image Steganography with Access Control
660. ICML 2026Training-Free Guided Diffusion for Planning: A Unified Framework via Doob’s h-Transform with Safety Guarantees
661. ICML 2026Training-Free Rate-Distortion-Perception Traversal With Diffusion
662. ICML 2026Trajectory-Aware Spiking DiTs Conversion via Membrane Potential Error-Feedback
663. ICML 2026Trajectory-Level Speculative Decoding for Diffusion Language Models
664. ICML 2026Trajectory-Stabilized Inference for Diffusion-Based Video Inpainting
665. ICML 2026Transformers Learn the Optimal DDPM Denoiser for Multi-Token GMMs
666. ICML 2026TransLight: Image-Guided Customized Lighting Control with Generative Decoupling
667. ICML 2026TransNormal: Dense Visual Semantics for Diffusion-based Transparent Object Normal Estimation
668. ICML 2026Trees to Flows and Back: Unifying Decision Trees and Diffusion Models
669. ICML 2026Triadic Dynamics Aware Diffusion Posterior Sampling for Inverse Problems: Optimizing Guidance and Stochasticity Schedules
670. ICML 2026Trust-Region Diffusion Policies for Massively Parallel On-Policy RL
671. ICML 2026Tuning the Implicit Regularizer of Masked Diffusion Language Models: Enhancing Generalization via Insights from $k$-Parity
672. ICML 2026Turbo4DGen: Ultra-Fast Acceleration for 4D Generation
673. ICML 2026Twins: Learn to Predict Unified Representations with Focal Loss
674. ICML 2026Two Calm Ends and the Wild Middle: A Geometric Picture of Memorization in Diffusion Models
675. ICML 2026Two Modalities Are Better Than One: Efficient Adversarial Purification via Multimodal Diffusion Models
676. ICML 2026Two-Parameter Flows for Learning Population Dynamics of Physical Systems
677. ICML 2026UDM-GRPO: Stable and Efficient Group Relative Policy Optimization for Uniform Discrete Diffusion Models
678. ICML 2026Unfolding Generative Flows with Koopman Operators: Trajectory-Preserving Linearization
679. ICML 2026UnHype: CLIP-Guided Hypernetworks for Dynamic LoRA Unlearning
680. ICML 2026Unifying Deep Stochastic Processes for Image Enhancement
681. ICML 2026Unifying Heterogeneous Degradations: Uncertainty-Aware Diffusion Bridge Model for All-in-One Image Restoration
682. ICML 2026Unifying Masked Diffusion Models with Various Generation Orders and Beyond
683. ICML 2026Unlearning in Diffusion Models: A Unified Framework with KL Divergence and Likelihood Constraints
684. ICML 2026Unlocking Cross-Modal Biosignal Synthesis: A Temporally-Aware VAE-Diffusion Model
685. ICML 2026UnMaskFork: Test-Time Scaling for Masked Diffusion via Deterministic Action Branching
686. ICML 2026Unpaired Visual Editing with Self-Consistent Flow Matching
687. ICML 2026Unsupervised Diffusion Solver for Combinatorial Optimization via Combinatorial Adjoint Matching
688. ICML 2026Value-as-Return: A Two-Stage Framework to Align on the Optimal Score Function
689. ICML 2026Variable-Length Tokenization via Learnable Global Merging for Diffusion Transformers
690. ICML 2026Variational Bayesian Flow Network for Graph Generation
691. ICML 2026Variational Flow Maps: Make Some Noise for One-Step Conditional Generation
692. ICML 2026Variational Learning for Insertion-based Generation
693. ICML 2026VecDesigner: Exploring Visual Guidance and Structural Consistency for Semantic Typography
694. ICML 2026VecMol: Vector-Field Representations for 3D Molecule Generation
695. ICML 2026Veda: Scalable Video Diffusion via Distilled Sparse Attention
696. ICML 2026VELR: Efficient Video Reward Feedback via Ensemble Latent Reward Models
697. ICML 2026VFMF: Dense Forecasting by Generating Foundation Model Features
698. ICML 2026Video-SVD: Efficient Video Diffusion via Orthogonal Basis Composition
699. ICML 2026VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation
700. ICML 2026VideoMAETok: Boosting Video Diffusion Models via Masked Autoencoders as Tokenizers

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.