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

2,690 papers, page 43 of 54

2101. NeurIPS 2026Branching Flows: Discrete, Continuous, and Manifold Flow Matching with Splits and Deletions
2102. NeurIPS 2026Breaking the Uniformity Trap: Scaling Video Diffusion Model via SplitMoE
2103. NeurIPS 2026Bridge Graphical Models: Coupling, Projection, and Current-Preserving Dynamics for Generative Modeling
2104. NeurIPS 2026Bridging Diffusion and Autoregression for Flexible Time Series Synthesis
2105. NeurIPS 2026BuresTomFlow: Bures-Geometric Flow Matching for Posterior Quantum Tomography
2106. NeurIPS 2026Cache the Future: Training-Free Self-Revision for Diffusion Transformer Acceleration
2107. NeurIPS 2026Calibrating Generative Models to Feature Distributions with MMD Finetuning
2108. NeurIPS 2026Causal Discovery Under Hard Selection Bias: A New Robust Score-Matching Approach
2109. NeurIPS 2026Chain-of-Generation: Progressive Latent Diffusion for Text-Guided Molecular Design
2110. NeurIPS 2026Chance-constrained Flow Matching for High-Fidelity Constraint-aware Generation
2111. NeurIPS 2026Characterizing Memorization in Diffusion Language Models: Generalized Extraction and Sampling Effects
2112. NeurIPS 2026CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation
2113. NeurIPS 2026Co-Evolving Interpolants and Flows via Path-Flow Alignment
2114. NeurIPS 2026Co-GRPO: Co-Optimized Group Relative Policy Optimization for Masked Image Generation
2115. NeurIPS 2026Coarse-to-Fine Compositional Diffusion for Long-Horizon Planning
2116. NeurIPS 2026CofactVLA: Deconfounding Vision-Language-Action Models via Counterfactual Intervention
2117. NeurIPS 2026Collective Supervision for Unified Biomolecular Conformation and Dynamics Modeling with CoDyna
2118. NeurIPS 2026Colored Noise Diffusion Sampling
2119. NeurIPS 2026Compute-Optimal Pretrain--Fine-tune in Ridge Gradient Flow
2120. NeurIPS 2026Conditioning Gaussian Processes on Almost Anything
2121. NeurIPS 2026Confidence-Based Decoding is Provably Efficient for Diffusion Language Models
2122. NeurIPS 2026Confidence-Based Diffusion Sampling with Geometric Readiness Awareness for Accelerated Structure-based Drug Design
2123. NeurIPS 2026Conservation Laws for Diffusion Models
2124. NeurIPS 2026Consistent 3D Surface Flow Model with Global State
2125. NeurIPS 2026Constrained Decoding for Diffusion Language Models via Efficient Inference over Finite Automata
2126. NeurIPS 2026Contextual Flow Matching for High-quality Visual Content Generation
2127. NeurIPS 2026Contextual Flow Matching: Adaptive Step Selection in Flow Models for Efficient Visual Generation
2128. NeurIPS 2026Continual Learning in Modern Hopfield Networks with an Application to Diffusion Models
2129. NeurIPS 2026Continuous Diffusion Scales Competitively with Discrete Diffusion for Language
2130. NeurIPS 2026Continuous Latent Diffusion Language Model
2131. NeurIPS 2026Continuous Personalized Diffusion Model via Spinor-Component Forward Geometry
2132. NeurIPS 2026Continuous-Time Distribution Matching for Few-Step Diffusion Distillation
2133. NeurIPS 2026Continuously-Augmented Hybrid Masked Diffusion Model for Data Imputation
2134. NeurIPS 2026ControlFlow3D: Distilling Multi-View Knowledge into Latent Flow Matching for Point Cloud Upsampling
2135. NeurIPS 2026Coreset-Induced Conditional Velocity Flow Matching
2136. NeurIPS 2026Corrective Diffusion Language Models
2137. NeurIPS 2026Counterfactual Explanations for Time-Series Classification via Constrained Flow Matching
2138. NeurIPS 2026Coupled Guidance for Flow Matching
2139. NeurIPS 2026Cross-Cell-Line Perturbation Prediction Needs Controls
2140. NeurIPS 2026CSFlow: Aligning Flow Matching with Human Contrast Sensitivity
2141. NeurIPS 2026Cyclic Denoising Reveals Ultrastable Memories in Diffusion Models
2142. NeurIPS 2026Cylindrical Geodesic Flow Matching for Quasiperiodic Physiological Signal Transformation
2143. NeurIPS 2026D-DOIT: Training-free Adaptation of Discrete Diffusion via Doob's h-Transform
2144. NeurIPS 2026D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models
2145. NeurIPS 2026DAWN: Dependency-Aware Fast Inference for Diffusion LLMs
2146. NeurIPS 2026DC-SAE: Deep Compression Semantic Autoencoder for Faster Diffusion Convergence
2147. NeurIPS 2026Debiased Counterfactual Generation via Flow Matching from Observations
2148. NeurIPS 2026Debiased DPO for Diffusion Models
2149. NeurIPS 2026Decoupled Safety Control: A Safety-Control Algorithm for Training-Free Safety Guidance
2150. NeurIPS 2026Decoupling Action from Egocentric Observation for World Simulation

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.