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

1,471 papers, page 23 of 30

1101. NeurIPS 2024Diffusion4D: Fast Spatial-temporal Consistent 4D generation via Video Diffusion Models
1102. NeurIPS 2024DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction
1103. NeurIPS 2024DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion
1104. NeurIPS 2024DiffusionPDE: Generative PDE-Solving under Partial Observation
1105. NeurIPS 2024DiMSUM: Diffusion Mamba - A Scalable and Unified Spatial-Frequency Method for Image Generation
1106. NeurIPS 2024DINTR: Tracking via Diffusion-based Interpolation
1107. NeurIPS 2024DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization
1108. NeurIPS 2024Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion models
1109. NeurIPS 2024Direct Unlearning Optimization for Robust and Safe Text-to-Image Models
1110. NeurIPS 2024Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer
1111. NeurIPS 2024Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text
1112. NeurIPS 2024Discrete Flow Matching
1113. NeurIPS 2024Discrete Modeling via Boundary Conditional Diffusion Processes
1114. NeurIPS 2024Discrete-state Continuous-time Diffusion for Graph Generation
1115. NeurIPS 2024Disentangled Style Domain for Implicit $z$-Watermark Towards Copyright Protection
1116. NeurIPS 2024Distribution-Aware Data Expansion with Diffusion Models
1117. NeurIPS 2024Distributional Successor Features Enable Zero-Shot Policy Optimization
1118. NeurIPS 2024DiTFastAttn: Attention Compression for Diffusion Transformer Models
1119. NeurIPS 2024Divide-and-Conquer Posterior Sampling for Denoising Diffusion priors
1120. NeurIPS 2024DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models
1121. NeurIPS 2024DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning
1122. NeurIPS 2024DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation
1123. NeurIPS 2024DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation
1124. NeurIPS 2024DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models
1125. NeurIPS 2024DRIP: Unleashing Diffusion Priors for Joint Foreground and Alpha Prediction in Image Matting
1126. NeurIPS 2024Dual-Diffusion for Binocular 3D Human Pose Estimation
1127. NeurIPS 2024Dynamic Conditional Optimal Transport through Simulation-Free Flows
1128. NeurIPS 2024e-COP : Episodic Constrained Optimization of Policies
1129. NeurIPS 2024E-Motion: Future Motion Simulation via Event Sequence Diffusion
1130. NeurIPS 2024EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching
1131. NeurIPS 2024EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals
1132. NeurIPS 2024EM Distillation for One-step Diffusion Models
1133. NeurIPS 2024Emergence of heavy tails in homogenized stochastic gradient descent
1134. NeurIPS 2024Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space
1135. NeurIPS 2024Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination
1136. NeurIPS 2024Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning
1137. NeurIPS 2024Enhancing Preference-based Linear Bandits via Human Response Time
1138. NeurIPS 2024Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning
1139. NeurIPS 2024Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation
1140. NeurIPS 2024Equivariant Neural Diffusion for Molecule Generation
1141. NeurIPS 2024Equivariant spatio-hemispherical networks for diffusion MRI deconvolution
1142. NeurIPS 2024Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation
1143. NeurIPS 2024Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data
1144. NeurIPS 2024Estimating Epistemic and Aleatoric Uncertainty with a Single Model
1145. NeurIPS 2024ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation
1146. NeurIPS 2024Evaluating the design space of diffusion-based generative models
1147. NeurIPS 2024EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models
1148. NeurIPS 2024Exocentric-to-Egocentric Video Generation
1149. NeurIPS 2024Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models
1150. NeurIPS 2024Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization

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.