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

728 papers, page 3 of 15

101. ICML 2026Continuous Diffusion Models Can Obey Formal Syntax
102. ICML 2026Contractive Anchor Resolvent Diffusion for Incomplete Multi-View Clustering
103. ICML 2026Contrastive Diffusion Alignment: Learning Structured Latents for Controllable Generation
104. ICML 2026Contrastive Flow Map Matching
105. ICML 2026ContrastiveCFG: Guiding Diffusion Sampling by Contrasting Positive and Negative Concepts
106. ICML 2026Control Consistency Losses for Diffusion Bridges
107. ICML 2026CORE: Context-Robust Remasking for Diffusion Language Models
108. ICML 2026Corrected Samplers for Discrete Flow Models
109. ICML 2026CountsDiff: A diffusion model on the natural numbers for generation and imputation of count-based data
110. ICML 2026CRAG: Can 3D Generative Models Help 3D Assembly?
111. ICML 2026Cross-Chirality Generalization by Axial Vectors for Hetero-Chiral Protein-Peptide Interaction Design
112. ICML 2026CURE: Context-driven Diffusion with Progressive Expansion for Single Domain Generalization in Time Series Classification
113. ICML 2026d2: Improving Reasoning in Diffusion Language Models via Trajectory Likelihood Estimation
114. ICML 2026d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
115. ICML 2026DADP: Domain Adaptive Diffusion Policy
116. ICML 2026DAPD: Dependency-Aware Parallel Decoding via Attention for Diffusion LLMs
117. ICML 2026DDIM Inversion as a Perturbation Amplifier: Breaking Mimicry Protection via Reconstruction Error Minimization
118. ICML 2026DeCoDe: Decoupling Binding Position and Molecular Conformation in 3D Ligand Diffusion for Structure-Based Drug Design
119. ICML 2026Decomposing Out-of-Distribution Error in Conditional Flow Matching via Wasserstein Geometry
120. ICML 2026Deep Flow Networks
121. ICML 2026Deep Forcing: Training-Free Long Video Generation with Deep Sink and Participative Compression
122. ICML 2026Deep Trajectory Supervision: Deep Supervision Strikes Back
123. ICML 2026Denoising without Diffusion: Fixed-Noise Denoiser Anomaly Detection in Tabular Data
124. ICML 2026Depth-Progressive Monotonic Learning without Global Backpropagation
125. ICML 2026DetailMaster: Can Your Text-to-Image Model Handle Long Prompts?
126. ICML 2026DFlash: Block Diffusion for Flash Speculative Decoding
127. ICML 2026DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation
128. ICML 2026dgMARK: Decoding-Guided Watermarking for Diffusion Language Models
129. ICML 2026DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection
130. ICML 2026Di-BiLPS: Denoising induced Bidirectional Latent-PDE-Solver under Sparse Observations
131. ICML 2026Diagnosing and Correcting Concept Omission in Multimodal Diffusion Transformers
132. ICML 2026Diamond Maps: Efficient Reward Alignment via Stochastic Flow Maps
133. ICML 2026DiasR: Dual-Modal Identity-Anchored Sparse Routing for Efficient Multi-Subject Video Generation
134. ICML 2026DiFA: Inference-Time Forward-Process Alignment for Diffusion Models
135. ICML 2026Diff-MN: Diffusion Parameterized MoE-NCDE for Continuous Time Series Generation with Irregular Observations
136. ICML 2026DiffCrossGait: Trajectory-Level Alignment for 2D-3D Cross-Modal Gait Recognition via Latent Diffusion
137. ICML 2026DiffStyle3D: Consistent 3D Gaussian Stylization via Attention Optimization
138. ICML 2026DiffThinker: Towards Generative Multimodal Reasoning with Diffusion Models
139. ICML 2026DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone
140. ICML 2026DiffuReason: Enhancing Reasoning Ability for Diffusion Language Models via Monte Carlo Tree Search
141. ICML 2026Diffuse to Detect: Bi-Level Sample Rebalancing with Pseudo-Label Diffusion for Point-Supervised Infrared Small-Target Detection
142. ICML 2026Diffusing to Coordinate: Efficient Online Multi-Agent Diffusion Policies
143. ICML 2026Diffusion Bridge or Flow Matching? A Unifying Framework and Comparative Analysis
144. ICML 2026Diffusion Controller: Framework, Algorithms and Parameterization
145. ICML 2026Diffusion Differentiable Resampling
146. ICML 2026Diffusion Flow Matching: Dimension-Improved KL Bounds and Wasserstein Guarantees
147. ICML 2026Diffusion Language Model Parallel Decoding via Product-of-Experts Bridge
148. ICML 2026Diffusion Models Are Statistically Optimal for Learning Low-Dimensional Multi-Modal Distributions
149. ICML 2026Diffusion Models Preferentially Memorize Prototypical Examples or: Why Does My Diffusion Model Love Slop?
150. ICML 2026Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement

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.