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

6,899 papers, page 125 of 138

6201. NeurIPS 2024TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models
6202. NeurIPS 2024U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers
6203. NeurIPS 2024UDPM: Upsampling Diffusion Probabilistic Models
6204. NeurIPS 2024UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks
6205. NeurIPS 2024Understanding and Improving Training-free Loss-based Diffusion Guidance
6206. NeurIPS 2024Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure
6207. NeurIPS 2024Understanding Hallucinations in Diffusion Models through Mode Interpolation
6208. NeurIPS 2024Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement
6209. NeurIPS 2024Unified Guidance for Geometry-Conditioned Molecular Generation
6210. NeurIPS 2024UniFL: Improve Latent Diffusion Model via Unified Feedback Learning
6211. NeurIPS 2024Unifying Generation and Prediction on Graphs with Latent Graph Diffusion
6212. NeurIPS 2024Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image
6213. NeurIPS 2024UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models
6214. NeurIPS 2024Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
6215. NeurIPS 2024Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
6216. NeurIPS 2024Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance
6217. NeurIPS 2024Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation
6218. NeurIPS 2024Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series
6219. NeurIPS 2024UV-free Texture Generation with Denoising and Geodesic Heat Diffusion
6220. NeurIPS 2024Variational Distillation of Diffusion Policies into Mixture of Experts
6221. NeurIPS 2024Variational Flow Matching for Graph Generation
6222. NeurIPS 2024Video Diffusion Models are Training-free Motion Interpreter and Controller
6223. NeurIPS 2024VideoTetris: Towards Compositional Text-to-Video Generation
6224. NeurIPS 2024VidMan: Exploiting Implicit Dynamics from Video Diffusion Model for Effective Robot Manipulation
6225. NeurIPS 2024VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models
6226. NeurIPS 2024VisMin: Visual Minimal-Change Understanding
6227. NeurIPS 2024Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion
6228. NeurIPS 2024Vivid-ZOO: Multi-View Video Generation with Diffusion Model
6229. NeurIPS 2024Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models
6230. NeurIPS 2024Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments
6231. NeurIPS 2024What does guidance do? A fine-grained analysis in a simple setting
6232. NeurIPS 2024Where's Waldo: Diffusion Features For Personalized Segmentation and Retrieval
6233. NeurIPS 2024X-Ray: A Sequential 3D Representation For Generation
6234. NeurIPS 2024XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic Segmentation
6235. NeurIPS 2024YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals
6236. NeurIPS 2024Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training
6237. NeurIPS 2024Zero-shot Image Editing with Reference Imitation
6238. NeurIPS 2024Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering
6239. NeurIPS 2024Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion
6240. CVPR 20233D Neural Field Generation Using Triplane Diffusion
6241. CVPR 2023Adversarial Counterfactual Visual Explanations
6242. CVPR 2023Affordance Diffusion: Synthesizing Hand-Object Interactions
6243. CVPR 2023Align Your Latents: High-Resolution Video Synthesis With Latent Diffusion Models
6244. CVPR 2023All Are Worth Words: A ViT Backbone for Diffusion Models
6245. CVPR 2023Ambiguous Medical Image Segmentation Using Diffusion Models
6246. CVPR 2023Avatars Grow Legs: Generating Smooth Human Motion From Sparse Tracking Inputs With Diffusion Model
6247. CVPR 2023Back to the Source: Diffusion-Driven Adaptation To Test-Time Corruption
6248. CVPR 2023BBDM: Image-to-Image Translation With Brownian Bridge Diffusion Models
6249. CVPR 2023Binary Latent Diffusion
6250. CVPR 2023CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes

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.