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

327 papers, page 3 of 7

101. NeurIPS 2023DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement
102. NeurIPS 2023DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics
103. NeurIPS 2023DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models
104. NeurIPS 2023Dream the Impossible: Outlier Imagination with Diffusion Models
105. NeurIPS 2023DreamSparse: Escaping from Plato’s Cave with 2D Diffusion Model Given Sparse Views
106. NeurIPS 2023DreamWaltz: Make a Scene with Complex 3D Animatable Avatars
107. NeurIPS 2023Drift doesn't Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection
108. NeurIPS 2023DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
109. NeurIPS 2023Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing
110. NeurIPS 2023Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes
111. NeurIPS 2023EDGI: Equivariant Diffusion for Planning with Embodied Agents
112. NeurIPS 2023Efficient Diffusion Policies For Offline Reinforcement Learning
113. NeurIPS 2023Efficient Neural Music Generation
114. NeurIPS 2023Efficient Training of Energy-Based Models Using Jarzynski Equality
115. NeurIPS 2023Emergent Correspondence from Image Diffusion
116. NeurIPS 2023End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics
117. NeurIPS 2023Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
118. NeurIPS 2023Energy Guided Diffusion for Generating Neurally Exciting Images
119. NeurIPS 2023Energy Transformer
120. NeurIPS 2023Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models
121. NeurIPS 2023Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach
122. NeurIPS 2023Enhancing Adversarial Robustness via Score-Based Optimization
123. NeurIPS 2023Entropic Neural Optimal Transport via Diffusion Processes
124. NeurIPS 2023Equivariant flow matching
125. NeurIPS 2023Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation
126. NeurIPS 2023Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations
127. NeurIPS 2023Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
128. NeurIPS 2023Extracting Reward Functions from Diffusion Models
129. NeurIPS 2023Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models
130. NeurIPS 2023FaceComposer: A Unified Model for Versatile Facial Content Creation
131. NeurIPS 2023FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models
132. NeurIPS 2023Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow Shrink Trees
133. NeurIPS 2023Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples
134. NeurIPS 2023FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing
135. NeurIPS 2023Flow Matching for Scalable Simulation-Based Inference
136. NeurIPS 2023Formulating Discrete Probability Flow Through Optimal Transport
137. NeurIPS 2023Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animator
138. NeurIPS 2023From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion
139. NeurIPS 2023Functional Renyi Differential Privacy for Generative Modeling
140. NeurIPS 2023Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration
141. NeurIPS 2023Gaussian Mixture Solvers for Diffusion Models
142. NeurIPS 2023Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion
143. NeurIPS 2023Generating Behaviorally Diverse Policies with Latent Diffusion Models
144. NeurIPS 2023Generative Category-level Object Pose Estimation via Diffusion Models
145. NeurIPS 2023Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
146. NeurIPS 2023Generative Neural Fields by Mixtures of Neural Implicit Functions
147. NeurIPS 2023GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image
148. NeurIPS 2023Geometric Neural Diffusion Processes
149. NeurIPS 2023Global Structure-Aware Diffusion Process for Low-light Image Enhancement
150. NeurIPS 2023GLOBER: Coherent Non-autoregressive Video Generation via GLOBal Guided Video DecodER

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.