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

2,078 papers, page 21 of 42

1001. ICLR 2025Training-Free Diffusion Model Alignment with Sampling Demons
1002. ICLR 2025Trajectory attention for fine-grained video motion control
1003. ICLR 2025Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
1004. ICLR 2025Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers
1005. ICLR 2025Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
1006. ICLR 2025Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups
1007. ICLR 2025Truncated Consistency Models
1008. ICLR 2025Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization
1009. ICLR 2025TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation
1010. ICLR 2025U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models
1011. ICLR 2025UIFace: Unleashing Inherent Model Capabilities to Enhance Intra-Class Diversity in Synthetic Face Recognition
1012. ICLR 2025Underdamped Diffusion Bridges with Applications to Sampling
1013. ICLR 2025UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models
1014. ICLR 2025Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers
1015. ICLR 2025UniGEM: A Unified Approach to Generation and Property Prediction for Molecules
1016. ICLR 2025UniRestore3D: A Scalable Framework For General Shape Restoration
1017. ICLR 2025Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
1018. ICLR 2025Unlocking Point Processes through Point Set Diffusion
1019. ICLR 2025Variational Diffusion Posterior Sampling with Midpoint Guidance
1020. ICLR 2025VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control
1021. ICLR 2025VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning
1022. ICLR 2025Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement
1023. ICLR 2025ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler
1024. ICLR 2025VideoGrain: Modulating Space-Time Attention for Multi-Grained Video Editing
1025. ICLR 2025ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
1026. ICLR 2025VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation
1027. ICLR 2025Visually Guided Decoding: Gradient-Free Hard Prompt Inversion with Language Models
1028. ICLR 2025VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis
1029. ICLR 2025Warm Diffusion: Recipe for Blur-Noise Mixture Diffusion Models
1030. ICLR 2025Wavelet Diffusion Neural Operator
1031. ICLR 2025What Makes a Good Diffusion Planner for Decision Making?
1032. ICLR 2025What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?
1033. ICLR 2025What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models
1034. ICLR 2025X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios
1035. ICLR 2025You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs
1036. ICLR 2025Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data
1037. ICLR 2025ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning
1038. ICLR 2025Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection
1039. ICML 2025A First-order Generative Bilevel Optimization Framework for Diffusion Models
1040. ICML 2025A General Framework for Inference-time Scaling and Steering of Diffusion Models
1041. ICML 2025A Mixture-Based Framework for Guiding Diffusion Models
1042. ICML 2025A Non-isotropic Time Series Diffusion Model with Moving Average Transitions
1043. ICML 2025A Variational Perspective on Generative Protein Fitness Optimization
1044. ICML 2025Accelerated Diffusion Models via Speculative Sampling
1045. ICML 2025Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional
1046. ICML 2025Adaptive Flow Matching for Resolving Small-Scale Physics
1047. ICML 2025Adaptive Median Smoothing: Adversarial Defense for Unlearned Text-to-Image Diffusion Models at Inference Time
1048. ICML 2025AdaWorld: Learning Adaptable World Models with Latent Actions
1049. ICML 2025Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
1050. ICML 2025AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion 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.