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 13 of 28

601. ICML 2026Stabilizing Reinforcement Learning for Diffusion Language Models
602. ICML 2026Stable Velocity: A Variance Perspective on Flow Matching
603. ICML 2026Stage-wise Distortion–Perception Traversal in Zero-shot Inverse Problems with Diffusion Models
604. ICML 2026STAR-VAE: Structured Topology-Aware Regularization for Audio Reconstruction and Generation
605. ICML 2026STARCaster: Spatio-Temporal AutoRegressive Video Diffusion for Identity- and View-Aware Talking Portraits
606. ICML 2026Stationary MMD Points
607. ICML 2026Stein Diffusion Guidance: Training-Free Posterior Correction for Sampling Beyond High-Density Regions
608. ICML 2026STEP: Warm-Started Visuomotor Policies with Spatiotemporal Consistency Prediction
609. ICML 2026STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation
610. ICML 2026Stop the Flip-Flop: Context-Preserving Verification for Fast Revocable Diffusion Decoding
611. ICML 2026Stop Training for the Worst: Progressive Unmasking Accelerates Masked Diffusion Training
612. ICML 2026StreamFlow: Theory, Algorithm, and Implementation for High-Efficiency Rectified Flow Generation
613. ICML 2026STRIDE: Post-Training LLMs to Reason and Refine Bio-Sequences via Edit Trajectories
614. ICML 2026Structure-Aware Riemannian Flow Matching for Registration and Fusion of Hyperspectral and Multispectral Images
615. ICML 2026Structured Diffusion Bridges: Inductive Bias for Denoising Diffusion Bridges
616. ICML 2026StyleDistillation: A New Insight of Image Style Enables Personalized Aesthetic Manipulation
617. ICML 2026SuperHype: Hypergraph Generation via Graph-Superposition Decomposition
618. ICML 2026Supervised Guidance Training for Infinite-Dimensional Diffusion Models
619. ICML 2026Support-Proximity Augmented Diffusion Estimation for Offline Black-Box Optimization
620. ICML 2026SURF: Separation via Unsupervised Remixing Flow
621. ICML 2026SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate
622. ICML 2026SurrogateSHAP: Training-Free Contributor Attribution for Text-to-Image (T2I) Models
623. ICML 2026SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis
624. ICML 2026Swordsman: Entropy-Driven Adaptive Block Partition for Efficient Diffusion Language Models
625. ICML 2026SynLaD: Latent Diffusion for Generating Synthesizable Molecules Conditioned on 3D Pharmacophore Profiles
626. ICML 2026TAG: Tangential Amplifying Guidance for Hallucination-Resistant Sampling
627. ICML 2026TAGRPO: Boosting GRPO on Image-to-Video Generation with Direct Trajectory Alignment
628. ICML 2026Tail Annealing for Heavy-Tailed Flow Matching
629. ICML 2026TD3B: Transition-Directed Discrete Diffusion for Allosteric Binder Generation
630. ICML 2026TDM-R1: Reinforcing Few-Step Diffusion Models with Non-Differentiable Reward
631. ICML 2026TEAM: Temporal–Spatial Consistency Guided Expert Activation for MoE Diffusion Language Model Acceleration
632. ICML 2026Temperature Scaling in Discrete Sequence (Language) Models
633. ICML 2026Temporal Difference Learning for Diffusion Models
634. ICML 2026Temporal Score Rescaling for Temperature Sampling in Diffusion and Flow Models
635. ICML 2026Temporal-aware Flow Matching for Video Generation with Temporally Coherent Motion
636. ICML 2026Tensor Train Diffusion: Leveraging Low-Rank Structures for High-Dimensional Score-Based Sampling
637. ICML 2026Test-Time Anchoring for Discrete Diffusion Posterior Sampling
638. ICML 2026Test-Time Reinforcement Learning for Flow Matching
639. ICML 2026TFTF: Training-Free Targeted Flow for Conditional Sampling
640. ICML 2026The Accumulation of Score Estimation Error in Diffusion Models
641. ICML 2026The Efficiency Gap in Byte Modeling
642. ICML 2026The Entropic Signature of Class Speciation in Diffusion Models
643. ICML 2026The Safety-Aware Denoiser for Text Diffusion Models
644. ICML 2026The Velocity Deficit: Initial Energy Injection for Flow Matching
645. ICML 2026Think-Then-Generate: Reasoning-Aware Text-to-Image Diffusion with LLM Encoders
646. ICML 2026Tightening the Score Matching Gap for Diffusion Models
647. ICML 2026Tilt Matching for Scalable Sampling and Fine-Tuning
648. ICML 2026Timestep Rescheduling in Diffusion Inversion
649. ICML 2026Tokenised Flow Matching for Hierarchical Simulation Based Inference
650. ICML 2026Towards A Generative Protein Evolution Machine with DPLM-Evo

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.