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

694 papers, page 5 of 14

201. NeurIPS 2025Entropic Time Schedulers for Generative Diffusion Models
202. NeurIPS 2025Entropy Rectifying Guidance for Diffusion and Flow Models
203. NeurIPS 2025Event-Guided Consistent Video Enhancement with Modality-Adaptive Diffusion Pipeline
204. NeurIPS 2025EverybodyDance: Bipartite Graph–Based Identity Correspondence for Multi-Character Animation
205. NeurIPS 2025EVODiff: Entropy-aware Variance Optimized Diffusion Inference
206. NeurIPS 2025Explore In-Context Message Passing Operator for Graph Neural Networks in A Mean Field Game
207. NeurIPS 2025Exploring Diffusion Transformer Designs via Grafting
208. NeurIPS 2025Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty Reduction
209. NeurIPS 2025Exploring the Design Space of Diffusion Bridge Models
210. NeurIPS 2025Exponential Convergence Guarantees for Iterative Markovian Fitting
211. NeurIPS 2025Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation
212. NeurIPS 2025Failure Prediction at Runtime for Generative Robot Policies
213. NeurIPS 2025FairImagen: Post-Processing for Bias Mitigation in Text-to-Image Models
214. NeurIPS 2025Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning
215. NeurIPS 2025Fast constrained sampling in pre-trained diffusion models
216. NeurIPS 2025Fast Data Attribution for Text-to-Image Models
217. NeurIPS 2025Fast Monte Carlo Tree Diffusion: 100× Speedup via Parallel and Sparse Planning
218. NeurIPS 2025Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
219. NeurIPS 2025FAST: Foreground‑aware Diffusion with Accelerated Sampling Trajectory for Segmentation‑oriented Anomaly Synthesis
220. NeurIPS 2025Faster Video Diffusion with Trainable Sparse Attention
221. NeurIPS 2025Federated Dialogue-Semantic Diffusion for Emotion Recognition under Incomplete Modalities
222. NeurIPS 2025Feedback Guidance of Diffusion Models
223. NeurIPS 2025Finding Low-Rank Matrix Weights in DNNs via Riemannian Optimization: RAdaGrad and RAdamW
224. NeurIPS 2025Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods
225. NeurIPS 2025FlashMo: Geometric Interpolants and Frequency-Aware Sparsity for Scalable Efficient Motion Generation
226. NeurIPS 2025Flatten Graphs as Sequences: Transformers are Scalable Graph Generators
227. NeurIPS 2025Flexible MOF Generation with Torsion-Aware Flow Matching
228. NeurIPS 2025FlexVAR: Flexible Visual Autoregressive Modeling without Residual Prediction
229. NeurIPS 2025FlexWorld: Progressively Expanding 3D Scenes for Flexible-View Exploration
230. NeurIPS 2025Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning
231. NeurIPS 2025Flow Matching Neural Processes
232. NeurIPS 2025Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling
233. NeurIPS 2025Flow-Based Policy for Online Reinforcement Learning
234. NeurIPS 2025Flow-GRPO: Training Flow Matching Models via Online RL
235. NeurIPS 2025FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation
236. NeurIPS 2025FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation
237. NeurIPS 2025FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation
238. NeurIPS 2025FNOPE: Simulation-based inference on function spaces with Fourier Neural Operators
239. NeurIPS 2025ForceFM: Enhancing Protein-Ligand Predictions through Force-Guided Flow Matching
240. NeurIPS 2025Forecasting in Offline Reinforcement Learning for Non-stationary Environments
241. NeurIPS 2025Fourier Token Merging: Understanding and Capitalizing Frequency Domain for Efficient Image Generation
242. NeurIPS 2025FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion
243. NeurIPS 2025Fractional Diffusion Bridge Models
244. NeurIPS 2025Frame Context Packing and Drift Prevention in Next-Frame-Prediction Video Diffusion Models
245. NeurIPS 2025Frame In-N-Out: Unbounded Controllable Image-to-Video Generation
246. NeurIPS 2025Free-Lunch Color-Texture Disentanglement for Stylized Image Generation
247. NeurIPS 2025FreeControl: Efficient, Training-Free Structural Control via One-Step Attention Extraction
248. NeurIPS 2025FreeInv: Free Lunch for Improving DDIM Inversion
249. NeurIPS 2025From Cradle to Cane: A Two-Pass Framework for High-Fidelity Lifespan Face Aging
250. NeurIPS 2025From Softmax to Score: Transformers Can Effectively Implement In-Context Denoising Steps

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.