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 16 of 138

751. ICLR 2026Dichotomous Diffusion Policy Optimization
752. ICLR 2026DiffInk: Glyph- and Style-Aware Latent Diffusion Transformer for Text to Online Handwriting Generation
753. ICLR 2026DiffPBR: Point-Based Rendering via Spatial-Aware Residual Diffusion
754. ICLR 2026DiffSDA: Unsupervised Diffusion Sequential Disentanglement Across Modalities
755. ICLR 2026DIFFSPARSE: ACCELERATING DIFFUSION TRANSFORMERS WITH LEARNED TOKEN SPARSITY
756. ICLR 2026DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation
757. ICLR 2026DiffuDETR: Rethinking Detection Transformers with Diffusion Process
758. ICLR 2026DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language Models
759. ICLR 2026Diffusion & Adversarial Schrödinger Bridges via Iterative Proportional Markovian Fitting
760. ICLR 2026Diffusion Alignment as Variataional Expectation-Maximization
761. ICLR 2026Diffusion and Flow-based Copulas: Forgetting and Remembering Dependencies
762. ICLR 2026Diffusion Blend: Inference-Time Multi-Preference Alignment for Diffusion Models
763. ICLR 2026Diffusion Bridge Variational Inference for Deep Gaussian Processes
764. ICLR 2026Diffusion Fine-Tuning via Reparameterized Policy Gradient of the Soft Q-Function
765. ICLR 2026Diffusion Language Model Knows the Answer Before It Decodes
766. ICLR 2026Diffusion Language Models are Provably Optimal Parallel Samplers
767. ICLR 2026Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing
768. ICLR 2026Diffusion Models as Dataset Distillation Priors
769. ICLR 2026Diffusion Negative Preference Optimization Made Simple
770. ICLR 2026Diffusion Transformers with Representation Autoencoders
771. ICLR 2026Diffusion-DFL: Decision-focused Diffusion Models for Stochastic Optimization
772. ICLR 2026DiffusionBlocks: Block-wise Neural Network Training via Diffusion Interpretation
773. ICLR 2026DiffusionNFT: Online Diffusion Reinforcement with Forward Process
774. ICLR 2026DiffVax: Optimization-Free Image Immunization Against Diffusion-Based Editing
775. ICLR 2026Direct Reward Fine-Tuning on Poses for Single Image to 3D Human in the Wild
776. ICLR 2026Discrete Adjoint Matching
777. ICLR 2026Discrete Bayesian Sample Inference for Graph Generation
778. ICLR 2026Discrete Diffusion for Bundle Construction
779. ICLR 2026Discrete Diffusion Trajectory Alignment via Stepwise Decomposition
780. ICLR 2026Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching
781. ICLR 2026Disentanglement of Variations with Multimodal Generative Modeling
782. ICLR 2026Distillation of Large Language Models via Concrete Score Matching
783. ICLR 2026DistillKac: Few-Step Image Generation via Damped Wave Equations
784. ICLR 2026Distributionally Robust Optimization via Generative Ambiguity Modeling
785. ICLR 2026Diverse Text-to-Image Generation via Contrastive Noise Optimization
786. ICLR 2026DM4CT: Benchmarking Diffusion Models for Computed Tomography Reconstruction
787. ICLR 2026Do We Need All the Synthetic Data? Targeted Image Augmentation via Diffusion Models
788. ICLR 2026Does FLUX Already Know How to Perform Physically Plausible Image Composition?
789. ICLR 2026DoFlow: Flow-based Generative Models for Interventional and Counterfactual Forecasting on Time Series
790. ICLR 2026Doloris: Dual Conditional Diffusion Implicit Bridges with Sparsity Masking Strategy for Unpaired Single-Cell Perturbation Estimation
791. ICLR 2026Don't Settle Too Early: Self-Reflective Remasking for Diffusion Language Models
792. ICLR 2026DPad: Efficient Diffusion Language Models with Suffix Dropout
793. ICLR 2026dParallel: Learnable Parallel Decoding for dLLMs
794. ICLR 2026DragFlow: Unleashing DiT Priors with Region-Based Supervision for Drag Editing
795. ICLR 2026Dragging with Geometry: From Pixels to Geometry-Guided Image Editing
796. ICLR 2026DreamOn: Diffusion Language Models For Code Infilling Beyond Fixed-size Canvas
797. ICLR 2026DreamSwapV: Mask-guided Subject Swapping for Any Customized Video Editing
798. ICLR 2026DriftLite: Lightweight Drift Control for Inference-Time Scaling of Diffusion Models
799. ICLR 2026DSA: Efficient Inference For Video Generation Models via Distributed Sparse Attention
800. ICLR 2026Dual Language Models: Balancing sample-efficiency and overfitting resilience

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.