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 15 of 30

701. ICLR 2024Relay Diffusion: Unifying diffusion process across resolutions for image synthesis
702. ICLR 2024Reverse Diffusion Monte Carlo
703. ICLR 2024Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
704. ICLR 2024Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
705. ICLR 2024SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
706. ICLR 2024Scalable Diffusion for Materials Generation
707. ICLR 2024Scale-Adaptive Diffusion Model for Complex Sketch Synthesis
708. ICLR 2024ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models
709. ICLR 2024Score Regularized Policy Optimization through Diffusion Behavior
710. ICLR 2024Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian distributions
711. ICLR 2024SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
712. ICLR 2024SE(3)-Stochastic Flow Matching for Protein Backbone Generation
713. ICLR 2024Seer: Language Instructed Video Prediction with Latent Diffusion Models
714. ICLR 2024SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction
715. ICLR 2024Self-Consuming Generative Models Go MAD
716. ICLR 2024Separate and Diffuse: Using a Pretrained Diffusion Model for Better Source Separation
717. ICLR 2024Simple Hierarchical Planning with Diffusion
718. ICLR 2024Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape
719. ICLR 2024Single Motion Diffusion
720. ICLR 2024SLiMe: Segment Like Me
721. ICLR 2024Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models
722. ICLR 2024Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution
723. ICLR 2024Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
724. ICLR 2024Space Group Constrained Crystal Generation
725. ICLR 2024Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation
726. ICLR 2024sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows
727. ICLR 2024Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling
728. ICLR 2024SweetDreamer: Aligning Geometric Priors in 2D diffusion for Consistent Text-to-3D
729. ICLR 2024Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation
730. ICLR 2024SyncDreamer: Generating Multiview-consistent Images from a Single-view Image
731. ICLR 2024TapMo: Shape-aware Motion Generation of Skeleton-free Characters
732. ICLR 2024Text-to-3D with Classifier Score Distillation
733. ICLR 2024The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing
734. ICLR 2024The Expressive Power of Low-Rank Adaptation
735. ICLR 2024The Hidden Language of Diffusion Models
736. ICLR 2024TokenFlow: Consistent Diffusion Features for Consistent Video Editing
737. ICLR 2024TOSS: High-quality Text-guided Novel View Synthesis from a Single Image
738. ICLR 2024Toward effective protection against diffusion-based mimicry through score distillation
739. ICLR 2024Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints
740. ICLR 2024Towards image compression with perfect realism at ultra-low bitrates
741. ICLR 2024Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models
742. ICLR 2024Training Diffusion Models with Reinforcement Learning
743. ICLR 2024Training Unbiased Diffusion Models From Biased Dataset
744. ICLR 2024Training-free Multi-objective Diffusion Model for 3D Molecule Generation
745. ICLR 2024Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting
746. ICLR 2024Transport meets Variational Inference: Controlled Monte Carlo Diffusions
747. ICLR 2024Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation
748. ICLR 2024Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks
749. ICLR 2024Universal Guidance for Diffusion Models
750. ICLR 2024Unpaired Image-to-Image Translation via Neural Schrödinger Bridge

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.