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

1,378 papers, page 23 of 28

1101. ICML 2024CCM: Real-Time Controllable Visual Content Creation Using Text-to-Image Consistency Models
1102. ICML 2024Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale
1103. ICML 2024Cluster-Aware Similarity Diffusion for Instance Retrieval
1104. ICML 2024CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding
1105. ICML 2024Compositional Image Decomposition with Diffusion Models
1106. ICML 2024Compositional Text-to-Image Generation with Dense Blob Representations
1107. ICML 2024Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases
1108. ICML 2024Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data
1109. ICML 2024Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design
1110. ICML 2024Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder
1111. ICML 2024Critical windows: non-asymptotic theory for feature emergence in diffusion models
1112. ICML 2024Cross-view Masked Diffusion Transformers for Person Image Synthesis
1113. ICML 2024CW Complex Hypothesis for Image Data
1114. ICML 2024D-Flow: Differentiating through Flows for Controlled Generation
1115. ICML 2024Data-free Distillation of Diffusion Models with Bootstrapping
1116. ICML 2024Deep Stochastic Mechanics
1117. ICML 2024Demystifying SGD with Doubly Stochastic Gradients
1118. ICML 2024Denoising Autoregressive Representation Learning
1119. ICML 2024DFlow: A Generative Model Combining Denoising AutoEncoder and Normalizing Flow for High Fidelity Waveform Generation
1120. ICML 2024DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation
1121. ICML 2024DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation
1122. ICML 2024DiffDA: a Diffusion model for weather-scale Data Assimilation
1123. ICML 2024Differentially Private Synthetic Data via Foundation Model APIs 2: Text
1124. ICML 2024DiffFPR: Diffusion Prior for Oversampled Fourier Phase Retrieval
1125. ICML 2024Diffuse, Sample, Project: Plug-And-Play Controllable Graph Generation
1126. ICML 2024Diffusion Language Models Are Versatile Protein Learners
1127. ICML 2024Diffusion Model-Augmented Behavioral Cloning
1128. ICML 2024Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance
1129. ICML 2024Diffusion Models Encode the Intrinsic Dimension of Data Manifolds
1130. ICML 2024Diffusion Posterior Sampling is Computationally Intractable
1131. ICML 2024Diffusion Rejection Sampling
1132. ICML 2024Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations
1133. ICML 2024Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering
1134. ICML 2024Diffusive Gibbs Sampling
1135. ICML 2024DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency
1136. ICML 2024Directly Denoising Diffusion Models
1137. ICML 2024Dirichlet Flow Matching with Applications to DNA Sequence Design
1138. ICML 2024DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents
1139. ICML 2024Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
1140. ICML 2024Disguised Copyright Infringement of Latent Diffusion Models
1141. ICML 2024DITTO: Diffusion Inference-Time T-Optimization for Music Generation
1142. ICML 2024Don't be so Negative! Score-based Generative Modeling with Oracle-assisted Guidance
1143. ICML 2024DRCT: Diffusion Reconstruction Contrastive Training towards Universal Detection of Diffusion Generated Images
1144. ICML 2024E$^2$GAN: Efficient Training of Efficient GANs for Image-to-Image Translation
1145. ICML 2024Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring
1146. ICML 2024Editing Partially Observable Networks via Graph Diffusion Models
1147. ICML 2024Efficient Denoising Diffusion via Probabilistic Masking
1148. ICML 2024Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning
1149. ICML 2024Equivariant Diffusion for Crystal Structure Prediction
1150. ICML 2024Fast Timing-Conditioned Latent Audio Diffusion

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.