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 6 of 11

251. NeurIPS 2024Guiding a Diffusion Model with a Bad Version of Itself
252. NeurIPS 2024HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion
253. NeurIPS 2024Hallo3D: Multi-Modal Hallucination Detection and Mitigation for Consistent 3D Content Generation
254. NeurIPS 2024Hamiltonian Score Matching and Generative Flows
255. NeurIPS 2024HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image Generation
256. NeurIPS 2024HOI-Swap: Swapping Objects in Videos with Hand-Object Interaction Awareness
257. NeurIPS 2024Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models
258. NeurIPS 2024How Control Information Influences Multilingual Text Image Generation and Editing?
259. NeurIPS 2024How Diffusion Models Learn to Factorize and Compose
260. NeurIPS 2024How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization?
261. NeurIPS 2024How to Use Diffusion Priors under Sparse Views?
262. NeurIPS 2024Human-3Diffusion: Realistic Avatar Creation via Explicit 3D Consistent Diffusion Models
263. NeurIPS 2024Human-Object Interaction Detection Collaborated with Large Relation-driven Diffusion Models
264. NeurIPS 2024HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors
265. NeurIPS 2024Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis
266. NeurIPS 2024ID-to-3D: Expressive ID-guided 3D Heads via Score Distillation Sampling
267. NeurIPS 2024Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model
268. NeurIPS 2024Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models
269. NeurIPS 2024IllumiNeRF: 3D Relighting Without Inverse Rendering
270. NeurIPS 2024Image Copy Detection for Diffusion Models
271. NeurIPS 2024Image Reconstruction Via Autoencoding Sequential Deep Image Prior
272. NeurIPS 2024Images that Sound: Composing Images and Sounds on a Single Canvas
273. NeurIPS 2024IMAGPose: A Unified Conditional Framework for Pose-Guided Person Generation
274. NeurIPS 2024Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment
275. NeurIPS 2024Improved Distribution Matching Distillation for Fast Image Synthesis
276. NeurIPS 2024Improved off-policy training of diffusion samplers
277. NeurIPS 2024Improved Sample Complexity Bounds for Diffusion Model Training
278. NeurIPS 2024Improving the Training of Rectified Flows
279. NeurIPS 2024In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment
280. NeurIPS 2024Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models
281. NeurIPS 2024InstructG2I: Synthesizing Images from Multimodal Attributed Graphs
282. NeurIPS 2024InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint
283. NeurIPS 2024InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction
284. NeurIPS 2024Interpreting the Weight Space of Customized Diffusion Models
285. NeurIPS 2024Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps
286. NeurIPS 2024Invisible Image Watermarks Are Provably Removable Using Generative AI
287. NeurIPS 2024IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model
288. NeurIPS 2024Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models.
289. NeurIPS 2024Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
290. NeurIPS 2024KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis
291. NeurIPS 2024LaSe-E2V: Towards Language-guided Semantic-aware Event-to-Video Reconstruction
292. NeurIPS 2024Latent Diffusion for Neural Spiking Data
293. NeurIPS 2024Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks
294. NeurIPS 2024LCGen: Mining in Low-Certainty Generation for View-consistent Text-to-3D
295. NeurIPS 2024Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training
296. NeurIPS 2024Learning diffusion at lightspeed
297. NeurIPS 2024Learning Diffusion Priors from Observations by Expectation Maximization
298. NeurIPS 2024Learning Discrete Concepts in Latent Hierarchical Models
299. NeurIPS 2024Learning Distributions on Manifolds with Free-Form Flows
300. NeurIPS 2024Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse Problems

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.