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 34 of 42

1651. NeurIPS 2025Generative Pre-trained Autoregressive Diffusion Transformer
1652. NeurIPS 2025Generative Trajectory Stitching through Diffusion Composition
1653. NeurIPS 2025Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency
1654. NeurIPS 2025GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning
1655. NeurIPS 2025GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters
1656. NeurIPS 2025GeoRemover: Removing Objects and Their Causal Visual Artifacts
1657. NeurIPS 2025GeoVideo: Introducing Geometric Regularization into Video Generation Model
1658. NeurIPS 2025GLID$^2$E: A Gradient-Free Lightweight Fine-tune Approach for Discrete Biological Sequence Design
1659. NeurIPS 2025Go With the Flow: Fast Diffusion for Gaussian Mixture Models
1660. NeurIPS 2025GOATex: Geometry & Occlusion-Aware Texturing
1661. NeurIPS 2025GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection
1662. NeurIPS 2025GoT: Unleashing Reasoning Capability of MLLM for Visual Generation and Editing
1663. NeurIPS 2025Gradient Variance Reveals Failure Modes in Flow-Based Generative Models
1664. NeurIPS 2025Graph Diffusion that can Insert and Delete
1665. NeurIPS 2025Grasp2Grasp: Vision-Based Dexterous Grasp Translation via Schrödinger Bridges
1666. NeurIPS 2025Greed is Good: A Unifying Perspective on Guided Generation
1667. NeurIPS 2025Guided Diffusion Sampling on Function Spaces with Applications to PDEs
1668. NeurIPS 2025GuideFlow3D: Optimization-Guided Rectified Flow For Appearance Transfer
1669. NeurIPS 2025HAODiff: Human-Aware One-Step Diffusion via Dual-Prompt Guidance
1670. NeurIPS 2025Heterogeneous Diffusion Structure Inference for Network Cascade
1671. NeurIPS 2025Hierarchical Koopman Diffusion: Fast Generation with Interpretable Diffusion Trajectory
1672. NeurIPS 2025High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction
1673. NeurIPS 2025High-Order Flow Matching: Unified Framework and Sharp Statistical Rates
1674. NeurIPS 2025HOI-Dyn: Learning Interaction Dynamics for Human-Object Motion Diffusion
1675. NeurIPS 2025HollowFlow: Efficient Sample Likelihood Evaluation using Hollow Message Passing
1676. NeurIPS 2025How to build a consistency model: Learning flow maps via self-distillation
1677. NeurIPS 2025IllumiCraft: Unified Geometry and Illumination Diffusion for Controllable Video Generation
1678. NeurIPS 2025Image as a World: Generating Interactive World from Single Image via Panoramic Video Generation
1679. NeurIPS 2025Image Editing As Programs with Diffusion Models
1680. NeurIPS 2025Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Linear Extrapolation
1681. NeurIPS 2025Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking
1682. NeurIPS 2025Improving Progressive Generation with Decomposable Flow Matching
1683. NeurIPS 2025Improving the Euclidean Diffusion Generation of Manifold Data by Mitigating Score Function Singularity
1684. NeurIPS 2025Improving Video Generation with Human Feedback
1685. NeurIPS 2025In Silico Mapping of Visual Categorical Selectivity Across the Whole Brain
1686. NeurIPS 2025In-Context Learning of Stochastic Differential Equations with Foundation Inference Models
1687. NeurIPS 2025Increasing the Utility of Synthetic Images through Chamfer Guidance
1688. NeurIPS 2025Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing
1689. NeurIPS 2025Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search
1690. NeurIPS 2025Information Theoretic Learning for Diffusion Models with Warm Start
1691. NeurIPS 2025Information-Theoretic Discrete Diffusion
1692. NeurIPS 2025Informed Correctors for Discrete Diffusion Models
1693. NeurIPS 2025Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging Scenes
1694. NeurIPS 2025InstanceAssemble: Layout-Aware Image Generation via Instance Assembling Attention
1695. NeurIPS 2025IntrinsiX: High-Quality PBR Generation using Image Priors
1696. NeurIPS 2025InvFusion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems
1697. NeurIPS 2025Is Artificial Intelligence Generated Image Detection a Solved Problem?
1698. NeurIPS 2025Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models
1699. NeurIPS 2025Is Your Diffusion Model Actually Denoising?
1700. NeurIPS 2025ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model

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.