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

6,899 papers, page 134 of 138

6651. NeurIPS 2023Diffused Task-Agnostic Milestone Planner
6652. NeurIPS 2023Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence
6653. NeurIPS 2023Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks
6654. NeurIPS 2023Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning
6655. NeurIPS 2023Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
6656. NeurIPS 2023Diffusion Probabilistic Models for Structured Node Classification
6657. NeurIPS 2023Diffusion Representation for Asymmetric Kernels via Magnetic Transform
6658. NeurIPS 2023Diffusion Schrödinger Bridge Matching
6659. NeurIPS 2023Diffusion Self-Guidance for Controllable Image Generation
6660. NeurIPS 2023Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision
6661. NeurIPS 2023Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
6662. NeurIPS 2023Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation
6663. NeurIPS 2023Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection
6664. NeurIPS 2023Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback
6665. NeurIPS 2023DiffUTE: Universal Text Editing Diffusion Model
6666. NeurIPS 2023DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
6667. NeurIPS 2023Direct Diffusion Bridge using Data Consistency for Inverse Problems
6668. NeurIPS 2023Directional diffusion models for graph representation learning
6669. NeurIPS 2023DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
6670. NeurIPS 2023DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation
6671. NeurIPS 2023Diversify Your Vision Datasets with Automatic Diffusion-based Augmentation
6672. NeurIPS 2023Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models
6673. NeurIPS 2023DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement
6674. NeurIPS 2023DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics
6675. NeurIPS 2023DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models
6676. NeurIPS 2023Dream the Impossible: Outlier Imagination with Diffusion Models
6677. NeurIPS 2023DreamSparse: Escaping from Plato’s Cave with 2D Diffusion Model Given Sparse Views
6678. NeurIPS 2023DreamWaltz: Make a Scene with Complex 3D Animatable Avatars
6679. NeurIPS 2023Drift doesn't Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection
6680. NeurIPS 2023DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
6681. NeurIPS 2023Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing
6682. NeurIPS 2023Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes
6683. NeurIPS 2023EDGI: Equivariant Diffusion for Planning with Embodied Agents
6684. NeurIPS 2023Efficient Diffusion Policies For Offline Reinforcement Learning
6685. NeurIPS 2023Efficient Neural Music Generation
6686. NeurIPS 2023Efficient Training of Energy-Based Models Using Jarzynski Equality
6687. NeurIPS 2023Emergent Correspondence from Image Diffusion
6688. NeurIPS 2023End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics
6689. NeurIPS 2023Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
6690. NeurIPS 2023Energy Guided Diffusion for Generating Neurally Exciting Images
6691. NeurIPS 2023Energy Transformer
6692. NeurIPS 2023Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models
6693. NeurIPS 2023Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach
6694. NeurIPS 2023Enhancing Adversarial Robustness via Score-Based Optimization
6695. NeurIPS 2023Entropic Neural Optimal Transport via Diffusion Processes
6696. NeurIPS 2023Equivariant flow matching
6697. NeurIPS 2023Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation
6698. NeurIPS 2023Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations
6699. NeurIPS 2023Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
6700. NeurIPS 2023Extracting Reward Functions from Diffusion Models

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.