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

728 papers, page 15 of 15

701. ICML 2026VidLaDA: Bidirectional Diffusion Large Language Models for Efficient Video Understanding
702. ICML 2026ViewMask-1-to-3: Multi-View Consistent Image Generation via Multimodal Discrete Diffusion Models
703. ICML 2026Visual Implicit Autoregressive Modeling
704. ICML 2026ViTok-v2: Scaling Native Resolution Autoencoders to 5 Billion Parameters
705. ICML 2026VividCam: Learning Unconventional Camera Motions from Virtual Synthetic Videos
706. ICML 2026Watch Your Step: Information Injection in Diffusion Models via Shadow Timestep Embedding
707. ICML 2026Weak Diffusion Priors Can Still Achieve Strong Inverse-Problem Performance
708. ICML 2026WeDLM: Reconciling Diffusion Language Models with Standard Causal Attention for Fast Inference
709. ICML 2026Weight-Space Learning for Certifiable Few-shot Transfer Learning
710. ICML 2026WEVSR: Video Diffusion Generators for Real-World Video Super‑Resolution with Wavelet-Enhanced VAE Encoder
711. ICML 2026WFR-MFM: One-Step Inference for Dynamic Unbalanced Optimal Transport
712. ICML 2026What Does Flow-Matching Bring to TD-Learning?
713. ICML 2026What Makes Synthetic Data Effective in Image Segmentation
714. ICML 2026When Diffusion Language Models Hesitate: Detecting and Correcting Visual Hallucinations via Confidence Fluctuation
715. ICML 2026When Do Diffusion Models Learn to Generate Multiple Objects?
716. ICML 2026When Preference Labels Fall Short: Aligning Diffusion Models from Real Data
717. ICML 2026Where Concept Erasure Should Occur: Concept–Layer Alignment in Text-to-Video Diffusion Models
718. ICML 2026Where Detectors Fail: Probing Generative Space for Generalizable AI-Generated Image Detection
719. ICML 2026Who Said Neural Networks Aren't Linear?
720. ICML 2026Why DDIM Hallucinates More Than DDPM: A Theoretical Analysis of Reverse Dynamics
721. ICML 2026WIND: Weather Inverse Diffusion for Zero-Shot Atmospheric Modeling
722. ICML 2026WMVLM: Evaluating Diffusion Model Image Watermarking via Vision-Language Models
723. ICML 2026WorldCache: Accelerating World Models for Free via Heterogeneous Token Caching
724. ICML 2026WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling
725. ICML 2026XYZFlow: Scaling Multidimensional Shortcut Flows for Efficient Generative Modeling
726. ICML 2026You Don’t Need All That Attention: Surgical Memorization Mitigation in Text-to-Image Diffusion Models
727. ICML 2026Zero-Flow Encoders
728. ICML 2026ZeroDiff: Zero-Shot Time Series Reconstruction via Informed-Prior Diffusion

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.