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

661 papers, page 13 of 14

601. NeurIPS 2026Train-free Data Poisoning Attack against Retrieval-augmented Diffusion Models
602. NeurIPS 2026Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning
603. NeurIPS 2026Training Optimal Large Diffusion Language Models
604. NeurIPS 2026Training-Free Generative Sampling via Moment-Matched Score Smoothing
605. NeurIPS 2026Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation
606. NeurIPS 2026Trajectory-Consistent Diffusion Policies for Offline Reinforcement Learning
607. NeurIPS 2026Transforming Image Editors into Video Editors
608. NeurIPS 2026Transporting Quantiles to Codebook: Scalable Vector Quantization without Codebook Collapse
609. NeurIPS 2026Tree-Sliced Orlicz Integral Probability Metric
610. NeurIPS 2026Tri-Prompting: Controllable Video Generation with Scene, Subject, and Motion Prompts
611. NeurIPS 2026Trivialized Generative Models on Lie Groups
612. NeurIPS 2026Trustworthy and Efficient Map-free LiDAR Localization via Scan-Pose Alignment and Flow Matching
613. NeurIPS 2026TUBE: Tangent Upper Bound on Evidence for Discrete Diffusion Language Models
614. NeurIPS 2026Tunable Latent Generative Priors for Compressed Sensing and Inverse Problems
615. NeurIPS 2026Two-Sided Learning in Matching Markets with Interviews
616. NeurIPS 2026Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting
617. NeurIPS 2026Ultra Flash: Scaling Real-Time Streaming Video Generation to High Resolutions
618. NeurIPS 2026Unaligned Image Guided Denoising via Cross-modal Conditional Flow Matching
619. NeurIPS 2026Uncertainty Quantification for Large Language Diffusion Models
620. NeurIPS 2026Understanding diffusion models requires rethinking (again) generalization
621. NeurIPS 2026UniCustom: Unified Visual Conditioning for Multi-reference Image Generation
622. NeurIPS 2026UniFlowDock: Flexible Docking with Complete Equivariant Velocity Fields
623. NeurIPS 2026Uniform Diffusion Models revisited: Leave-One-Out Denoiser and Absorbing State Reformulation
624. NeurIPS 2026Universal Time Series Generation with Neural Controlled Differential Equations
625. NeurIPS 2026Unlocking the Duality between Flow and Field Matching
626. NeurIPS 2026Unsupervised Concept Discovery with Dirichlet Concept Diffusion Models
627. NeurIPS 2026V2VFusion: Text-Controlled Video-to-Video Diffusion for Degradation-Aware Video Fusion
628. NeurIPS 2026Value-Rectified Distillation for Flow-based Offline Reinforcement Learning
629. NeurIPS 2026Variable-Length Generative Protein Design via Generalized Poisson Flow
630. NeurIPS 2026Variance Reduction for Expectations with Diffusion Teachers
631. NeurIPS 2026Variance-Averse n-Step Offline Reinforcement Learning for Sparse Long-Horizon Environments
632. NeurIPS 2026Variational Active Flow Matching for Discrete Online Black-Box Optimization
633. NeurIPS 2026Variational Trajectory Optimization of Anisotropic Diffusion Schedules
634. NeurIPS 2026Velocity Ambiguity Profiles: Time-Resolved Bayes-Risk Diagnostics for Flow Matching
635. NeurIPS 2026Vermeer: Autoregressive generative modeling of microscopy predicts protein localization
636. NeurIPS 2026VGB for Masked Diffusion Model: Efficient Test-time Scaling for Reward Satisfaction and Sample Editing
637. NeurIPS 2026Video Models Can Reason with Verifiable Rewards
638. NeurIPS 2026Virtual-Flow: Virtual Microphone-based Speech Enhancement via Unsupervised Flow Matching
639. NeurIPS 2026Visual-Redundancy-Controlled Parallel Decoding for Diffusion-Based Multimodal Large Language Models
640. NeurIPS 2026Volatility-Whitened Probabilistic Residual Modeling for Long-Term Time Series Forecasting
641. NeurIPS 2026VolCo: Volumetric Contact for High-Fidelity Human Grasp Generation
642. NeurIPS 2026VolFill: Single-View Amodal 3D Scene Reconstruction with Volumetric Flow Matching
643. NeurIPS 2026Wasserstein Gradient Flows and Forward-Only Diffusion Are Not Enough for Multimodal Sampling
644. NeurIPS 2026Watermarking as a Learned Intrinsic Property of Diffusion Models
645. NeurIPS 2026Wavelet Flow Matching for Multi-Scale Physics Emulation
646. NeurIPS 2026What kills $v$-prediction? A Patch-wise PCA Perspective on Pixel-Space Flow Matching
647. NeurIPS 2026What Makes a Good Path? Factoring Manifold Support and Path Geometry
648. NeurIPS 2026What Matters for Diffusion-Friendly Latent Manifold? Prior-Aligned Autoencoders for Latent Diffusion
649. NeurIPS 2026What Time Is It? How Data Geometry Makes Time Conditioning Optional for Flow Matching
650. NeurIPS 2026When Edge Independence Fails: Joint Graph Diffusion with Latent Sociability Priors

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.