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

694 papers, page 13 of 14

601. NeurIPS 2025Text to Sketch Generation with Multi-Styles
602. NeurIPS 2025Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders
603. NeurIPS 2025Theoretical Benefit and Limitation of Diffusion Language Model
604. NeurIPS 2025ThermalGen: Style-Disentangled Flow-Based Generative Models for RGB-to-Thermal Image Translation
605. NeurIPS 2025Time-Embedded Algorithm Unrolling for Computational MRI
606. NeurIPS 2025TimeWak: Temporal Chained-Hashing Watermark for Time Series Data
607. NeurIPS 2025Token Perturbation Guidance for Diffusion Models
608. NeurIPS 2025Topology-aware Graph Diffusion Model with Persistent Homology
609. NeurIPS 2025Tortoise and Hare Guidance: Accelerating Diffusion Model Inference with Multirate Integration
610. NeurIPS 2025Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction
611. NeurIPS 2025Towards a Golden Classifier-Free Guidance Path via Foresight Fixed Point Iterations
612. NeurIPS 2025Towards foundational LiDAR world models with efficient latent flow matching
613. NeurIPS 2025Towards General Modality Translation with Contrastive and Predictive Latent Diffusion Bridge
614. NeurIPS 2025Towards Physical Understanding in Video Generation: A 3D Point Regularization Approach
615. NeurIPS 2025Towards Reliable Identification of Diffusion-based Image Manipulations
616. NeurIPS 2025Towards Resilient Safety-driven Unlearning for Diffusion Models against Downstream Fine-tuning
617. NeurIPS 2025Towards Robust Zero-Shot Reinforcement Learning
618. NeurIPS 2025Towards Understanding the Mechanisms of Classifier-Free Guidance
619. NeurIPS 2025Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling
620. NeurIPS 2025Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN
621. NeurIPS 2025Tracing the Roots: Leveraging Temporal Dynamics in Diffusion Trajectories for Origin Attribution
622. NeurIPS 2025TractoTransformer: Diffusion MRI Streamline Tractography using CNN and Transformer Networks
623. NeurIPS 2025Training-Free Constrained Generation With Stable Diffusion Models
624. NeurIPS 2025Training-Free Efficient Video Generation via Dynamic Token Carving
625. NeurIPS 2025Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models
626. NeurIPS 2025Training-Free Safe Denoisers for Safe Use of Diffusion Models
627. NeurIPS 2025Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models
628. NeurIPS 2025Transformers for Mixed-type Event Sequences
629. NeurIPS 2025Transition Matching: Scalable and Flexible Generative Modeling
630. NeurIPS 2025Tree-Guided Diffusion Planner
631. NeurIPS 2025TreeGen: A Bayesian Generative Model for Hierarchies
632. NeurIPS 2025TRIM: Scalable 3D Gaussian Diffusion Inference with Temporal and Spatial Trimming
633. NeurIPS 2025Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference
634. NeurIPS 2025Two-Steps Diffusion Policy for Robotic Manipulation via Genetic Denoising
635. NeurIPS 2025U-REPA: Aligning Diffusion U-Nets to ViTs
636. NeurIPS 2025UFM: A Simple Path towards Unified Dense Correspondence with Flow
637. NeurIPS 2025UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights
638. NeurIPS 2025UltraHR-100K: Enhancing UHR Image Synthesis with A Large-Scale High-Quality Dataset
639. NeurIPS 2025UMAMI: Unifying Masked Autoregressive Models and Deterministic Rendering for View Synthesis
640. NeurIPS 2025Uncertainty-Aware Multi-Objective Reinforcement Learning-Guided Diffusion Models for 3D De Novo Molecular Design
641. NeurIPS 2025Uncertainty-aware Preference Alignment for Diffusion Policies
642. NeurIPS 2025Uncover Governing Law of Pathology Propagation Mechanism Through A Mean-Field Game
643. NeurIPS 2025Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
644. NeurIPS 2025Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction
645. NeurIPS 2025UniLumos: Fast and Unified Image and Video Relighting with Physics-Plausible Feedback
646. NeurIPS 2025UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting
647. NeurIPS 2025UniTransfer: Video Concept Transfer via Progressive Spatio-Temporal Decomposition
648. NeurIPS 2025Universal Few-shot Spatial Control for Diffusion Models
649. NeurIPS 2025Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive Activations
650. NeurIPS 2025Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator

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.