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

1,378 papers, page 18 of 28

851. ICML 2025Flow Matching for Denoised Social Recommendation
852. ICML 2025Flow Matching for Few-Trial Neural Adaptation with Stable Latent Dynamics
853. ICML 2025Flow Q-Learning
854. ICML 2025FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching
855. ICML 2025FlowDrag: 3D-aware Drag-based Image Editing with Mesh-guided Deformation Vector Flow Fields
856. ICML 2025FrameBridge: Improving Image-to-Video Generation with Bridge Models
857. ICML 2025From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control
858. ICML 2025Gaussian Mixture Flow Matching Models
859. ICML 2025GaussMarker: Robust Dual-Domain Watermark for Diffusion Models
860. ICML 2025Generalized Interpolating Discrete Diffusion
861. ICML 2025Generative Audio Language Modeling with Continuous-valued Tokens and Masked Next-Token Prediction
862. ICML 2025Generative Data Mining with Longtail-Guided Diffusion
863. ICML 2025Generative Human Trajectory Recovery via Embedding-Space Conditional Diffusion
864. ICML 2025Generative Intervention Models for Causal Perturbation Modeling
865. ICML 2025GenMol: A Drug Discovery Generalist with Discrete Diffusion
866. ICML 2025Geometric Generative Modeling with Noise-Conditioned Graph Networks
867. ICML 2025Geometric Representation Condition Improves Equivariant Molecule Generation
868. ICML 2025GMAIL: Generative Modality Alignment for generated Image Learning
869. ICML 2025Graph Diffusion for Robust Multi-Agent Coordination
870. ICML 2025Habitizing Diffusion Planning for Efficient and Effective Decision Making
871. ICML 2025HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration
872. ICML 2025Harmonizing Geometry and Uncertainty: Diffusion with Hyperspheres
873. ICML 2025Hessian Geometry of Latent Space in Generative Models
874. ICML 2025Hierarchical Reinforcement Learning with Uncertainty-Guided Diffusional Subgoals
875. ICML 2025History-Guided Video Diffusion
876. ICML 2025How Compositional Generalization and Creativity Improve as Diffusion Models are Trained
877. ICML 2025How Distributed Collaboration Influences the Diffusion Model Training? A Theoretical Perspective
878. ICML 2025How Far Is Video Generation from World Model: A Physical Law Perspective
879. ICML 2025How to Evaluate and Mitigate IP Infringement in Visual Generative AI?
880. ICML 2025How to Move Your Dragon: Text-to-Motion Synthesis for Large-Vocabulary Objects
881. ICML 2025Human Body Restoration with One-Step Diffusion Model and A New Benchmark
882. ICML 2025Hyper-Transforming Latent Diffusion Models
883. ICML 2025I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models
884. ICML 2025IMPACT: Iterative Mask-based Parallel Decoding for Text-to-Audio Generation with Diffusion Modeling
885. ICML 2025Improved Discretization Complexity Analysis of Consistency Models: Variance Exploding Forward Process and Decay Discretization Scheme
886. ICML 2025Improving Compositional Generation with Diffusion Models Using Lift Scores
887. ICML 2025Improving Flow Matching by Aligning Flow Divergence
888. ICML 2025Improving the Diffusability of Autoencoders
889. ICML 2025Improving the Scaling Laws of Synthetic Data with Deliberate Practice
890. ICML 2025Inductive Moment Matching
891. ICML 2025Inference-Time Alignment of Diffusion Models with Direct Noise Optimization
892. ICML 2025INRFlow: Flow Matching for INRs in Ambient Space
893. ICML 2025Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models
894. ICML 2025IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models
895. ICML 2025Introducing 3D Representation for Dense Volume-to-Volume Translation via Score Fusion
896. ICML 2025Inverse Bridge Matching Distillation
897. ICML 2025Inverse Flow and Consistency Models
898. ICML 2025Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo
899. ICML 2025IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models
900. ICML 2025Is Noise Conditioning Necessary for Denoising Generative Models?

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.