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

520 papers, page 3 of 11

101. NeurIPS 2024Cryptographic Hardness of Score Estimation
102. NeurIPS 2024Ctrl-X: Controlling Structure and Appearance for Text-To-Image Generation Without Guidance
103. NeurIPS 2024D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning
104. NeurIPS 2024Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning
105. NeurIPS 2024DataStealing: Steal Data from Diffusion Models in Federated Learning with Multiple Trojans
106. NeurIPS 2024DeBaRA: Denoising-Based 3D Room Arrangement Generation
107. NeurIPS 2024DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release
108. NeurIPS 2024Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
109. NeurIPS 2024DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform
110. NeurIPS 2024DenoiseRep: Denoising Model for Representation Learning
111. NeurIPS 2024Denoising Diffusion Path: Attribution Noise Reduction with An Auxiliary Diffusion Model
112. NeurIPS 2024DePLM: Denoising Protein Language Models for Property Optimization
113. NeurIPS 2024DeTrack: In-model Latent Denoising Learning for Visual Object Tracking
114. NeurIPS 2024DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers
115. NeurIPS 2024DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut
116. NeurIPS 2024Differentially Private Graph Diffusion with Applications in Personalized PageRanks
117. NeurIPS 2024DiffGS: Functional Gaussian Splatting Diffusion
118. NeurIPS 2024DiffHammer: Rethinking the Robustness of Diffusion-Based Adversarial Purification
119. NeurIPS 2024DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data
120. NeurIPS 2024DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation
121. NeurIPS 2024DiffPano: Scalable and Consistent Text to Panorama Generation with Spherical Epipolar-Aware Diffusion
122. NeurIPS 2024DiffPO: A causal diffusion model for learning distributions of potential outcomes
123. NeurIPS 2024DiffSF: Diffusion Models for Scene Flow Estimation
124. NeurIPS 2024DiffuBox: Refining 3D Object Detection with Point Diffusion
125. NeurIPS 2024DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge
126. NeurIPS 2024DiffuPac: Contextual Mimicry in Adversarial Packets Generation via Diffusion Model
127. NeurIPS 2024DiffuserLite: Towards Real-time Diffusion Planning
128. NeurIPS 2024Diffusing Differentiable Representations
129. NeurIPS 2024Diffusion Actor-Critic with Entropy Regulator
130. NeurIPS 2024Diffusion for World Modeling: Visual Details Matter in Atari
131. NeurIPS 2024Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
132. NeurIPS 2024Diffusion Imitation from Observation
133. NeurIPS 2024Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement
134. NeurIPS 2024Diffusion Models are Certifiably Robust Classifiers
135. NeurIPS 2024Diffusion Models With Learned Adaptive Noise
136. NeurIPS 2024Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models
137. NeurIPS 2024Diffusion PID: Interpreting Diffusion via Partial Information Decomposition
138. NeurIPS 2024Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning
139. NeurIPS 2024Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies
140. NeurIPS 2024Diffusion Priors for Variational Likelihood Estimation and Image Denoising
141. NeurIPS 2024Diffusion Spectral Representation for Reinforcement Learning
142. NeurIPS 2024Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting
143. NeurIPS 2024Diffusion Twigs with Loop Guidance for Conditional Graph Generation
144. NeurIPS 2024Diffusion-based Curriculum Reinforcement Learning
145. NeurIPS 2024Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection
146. NeurIPS 2024Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization
147. NeurIPS 2024Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning
148. NeurIPS 2024Diffusion-Inspired Truncated Sampler for Text-Video Retrieval
149. NeurIPS 2024Diffusion-Reward Adversarial Imitation Learning
150. NeurIPS 2024Diffusion4D: Fast Spatial-temporal Consistent 4D generation via Video 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.