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 18 of 138

851. ICLR 2026Flow Autoencoders are Effective Protein Tokenizers
852. ICLR 2026Flow Caching for Autoregressive Video Generation
853. ICLR 2026Flow Expansion via Verifier-Constrained Noised State Space Exploration
854. ICLR 2026Flow Map Learning via Games
855. ICLR 2026Flow Matching Policy Gradients
856. ICLR 2026Flow Matching with Injected Noise for Offline-to-Online Reinforcement Learning
857. ICLR 2026Flow Matching with Semidiscrete Couplings
858. ICLR 2026Flow of Spans: Generalizing Language Models to Dynamic Span-Vocabulary via GFlowNets
859. ICLR 2026Flow Straight and Fast in Hilbert Space: Functional Rectified Flow
860. ICLR 2026Flow-Based Single-Step Completion for Efficient and Expressive Policy Learning
861. ICLR 2026Flow-Disentangled Feature Importance
862. ICLR 2026Flow2GAN: Hybrid Flow Matching and GAN with Multi-Resolution Network for One-/Two-step High-Fidelity Audio Generation
863. ICLR 2026FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing
864. ICLR 2026FlowBind: Efficient Any-to-Any Generation with Bidirectional Flows
865. ICLR 2026FlowCast: Advancing Precipitation Nowcasting with Conditional Flow Matching
866. ICLR 2026FlowCast: Trajectory Forecasting for Scalable Zero-Cost Speculative Flow Matching
867. ICLR 2026FLOWER: A Flow-Matching Solver for Inverse Problems
868. ICLR 2026FMIP: Joint Continuous-Integer Flow For Mixed-Integer Linear Programming
869. ICLR 2026Follow-Your-Preference: Towards Preference-Aligned Image Inpainting
870. ICLR 2026Foresight Diffusion: Improving Sampling Consistency in Predictive Diffusion Models
871. ICLR 2026Forget Many, Forget Right: Scalable and Precise Concept Unlearning in Diffusion Models
872. ICLR 2026Forward-Learned Discrete Diffusion: Learning how to noise to denoise faster
873. ICLR 2026FragFM: Hierarchical Framework for Efficient Molecule Generation via Fragment-Level Discrete Flow Matching
874. ICLR 2026Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Model
875. ICLR 2026Free Lunch for Stabilizing Rectified Flow Inversion
876. ICLR 2026FreeAdapt: Unleashing Diffusion Priors for Ultra-High-Definition Image Restoration
877. ICLR 2026From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization
878. ICLR 2026From Prediction to Perfection: Introducing Refinement to Autoregressive Image Generation
879. ICLR 2026From Predictors to Samplers via the Training Trajectory
880. ICLR 2026FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models
881. ICLR 2026FSD-CAP: Fractional Subgraph Diffusion with Class-Aware Propagation for Graph Feature Imputation
882. ICLR 2026FullPart: Generating each 3D Part at Full Resolution
883. ICLR 2026Functional MRI Time Series Generation via Wavelet-Based Image Transform and Spectral Flow Matching for Brain Disorder Identification
884. ICLR 2026G4Splat: Geometry-Guided Gaussian Splatting with Generative Prior
885. ICLR 2026GarmentGPT: Compositional Garment Pattern Generation via Discrete Latent Tokenization
886. ICLR 2026GAS: Improving Discretization of Diffusion ODEs via Generalized Adversarial Solver
887. ICLR 2026Gauge Flow Matching: Efficient Constrained Generative Modeling over General Convex Set and Beyond
888. ICLR 2026GDR-learners: Orthogonal Learning of Generative Models for Potential Outcomes
889. ICLR 2026gen2seg: Generative Models Enable Generalizable Instance Segmentation
890. ICLR 2026GenCompositor: Generative Video Compositing with Diffusion Transformer
891. ICLR 2026GenCP: Towards Generative Modeling Paradigm of Coupled physics
892. ICLR 2026GenDR: Lighten Generative Detail Restoration
893. ICLR 2026Generalised Flow Maps for Few-Step Generative Modelling on Riemannian Manifolds
894. ICLR 2026Generalization of Diffusion Models Arises with a Balanced Representation Space
895. ICLR 2026Generating Directed Graphs with Dual Attention and Asymmetric Encoding
896. ICLR 2026Generating metamers of human scene understanding
897. ICLR 2026Generative Blocks World: Moving Things Around in Pictures
898. ICLR 2026Generative Diffusion Prior Distillation for Long-Context Knowledge Transfer
899. ICLR 2026Generative Human Geometry Distribution
900. ICLR 2026Generative Modeling from Black-Box Corruptions via Self-Consistent Stochastic Interpolants

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.