Diffusion Models papers, 2023–2026
Diffusion, flow matching, and score-based generative modeling
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 6,900 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 327 | 86 | 109 | 138 | 660 |
| 2024 | 520 | 260 | 195 | 496 | 1,471 |
| 2025 | 694 | 487 | 346 | 551 | 2,078 |
| 2026 | 661 | 694 | 728 | 608 | 2,691 |
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 89 of 138
- NeurIPS 2025LABridge: Text–Image Latent Alignment Framework via Mean-Conditioned OU Process
- NeurIPS 2025LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities
- NeurIPS 2025Large Language Diffusion Models
- NeurIPS 2025Last-Iterate Convergence of Smooth Regret Matching$^+$ Variants in Learning Nash Equilibria
- NeurIPS 2025Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving
- NeurIPS 2025Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
- NeurIPS 2025LaViDa: A Large Diffusion Model for Vision-Language Understanding
- NeurIPS 2025LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching
- NeurIPS 2025Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning
- NeurIPS 2025Learnable Sampler Distillation for Discrete Diffusion Models
- NeurIPS 2025Learning 3D Persistent Embodied World Models
- NeurIPS 2025Learning conformational ensembles of proteins based on backbone geometry
- NeurIPS 2025Learning Diffusion Models with Flexible Representation Guidance
- NeurIPS 2025Learning Individual Behavior in Agent-Based Models with Graph Diffusion Networks
- NeurIPS 2025Learning non-equilibrium diffusions with Schrödinger bridges: from exactly solvable to simulation-free
- NeurIPS 2025Learning normalized image densities via dual score matching
- NeurIPS 2025Learning to Generate Human-Human-Object Interactions from Textual Descriptions
- NeurIPS 2025Learning to Integrate Diffusion ODEs by Averaging the Derivatives
- NeurIPS 2025Learning World Models for Interactive Video Generation
- NeurIPS 2025LEDiT: Your Length-Extrapolatable Diffusion Transformer without Positional Encoding
- NeurIPS 2025Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators
- NeurIPS 2025LightFair: Towards an Efficient Alternative for Fair T2I Diffusion via Debiasing Pre-trained Text Encoders
- NeurIPS 2025Linearly Constrained Diffusion Implicit Models
- NeurIPS 2025Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction
- NeurIPS 2025LLM Meets Diffusion: A Hybrid Framework for Crystal Material Generation
- NeurIPS 2025Locality in Image Diffusion Models Emerges from Data Statistics
- NeurIPS 2025Localizing Knowledge in Diffusion Transformers
- NeurIPS 2025LocDiff: Identifying Locations on Earth by Diffusing in the Hilbert Space
- NeurIPS 2025LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers
- NeurIPS 2025Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation
- NeurIPS 2025Luminance-Aware Statistical Quantization: Unsupervised Hierarchical Learning for Illumination Enhancement
- NeurIPS 2025LuxDiT: Lighting Estimation with Video Diffusion Transformer
- NeurIPS 2025MagCache: Fast Video Generation with Magnitude-Aware Cache
- NeurIPS 2025Make Information Diffusion Explainable: LLM-based Causal Framework for Diffusion Prediction
- NeurIPS 2025Masked Diffusion Models as Energy Minimization
- NeurIPS 2025MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control
- NeurIPS 2025Mean Flows for One-step Generative Modeling
- NeurIPS 2025Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning
- NeurIPS 2025MEgoHand: Multimodal Egocentric Hand-Object Interaction Motion Generation
- NeurIPS 2025MGE-LDM: Joint Latent Diffusion for Simultaneous Music Generation and Source Extraction
- NeurIPS 2025Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven Generation
- NeurIPS 2025MiniMax-Remover: Taming Bad Noise Helps Video Object Removal
- NeurIPS 2025Mitigating Occlusions in Virtual Try-On via A Simple-Yet-Effective Mask-Free Framework
- NeurIPS 2025Mitigating Sexual Content Generation via Embedding Distortion in Text-conditioned Diffusion Models
- NeurIPS 2025MMMG: A Massive, Multidisciplinary, Multi-Tier Generation Benchmark for Text-to-Image Reasoning
- NeurIPS 2025MoCha: Towards Movie-Grade Talking Character Generation
- NeurIPS 2025Modeling Microenvironment Trajectories on Spatial Transcriptomics with NicheFlow
- NeurIPS 2025MoleBridge: Synthetic Space Projecting with Discrete Markov Bridges
- NeurIPS 2025Momentum Multi-Marginal Schrödinger Bridge Matching
- NeurIPS 2025More Than Generation: Unifying Generation and Depth Estimation via Text-to-Image Diffusion Models
Ask about this trend from Claude or Cursor
Connect the Paperlist MCP and your assistant can pull the numbers on this page while you draft a survey, pick a direction or plan a submission: papers per year and venue, growth, the fastest-rising sub-themes and representative papers, shaped around your question.
Copy this prompt into your assistant
Use paperlist to show how Diffusion Models papers grew at NeurIPS from 2023 to 2026, and which year jumped the most.
Tool the assistant calls: get_topic_stats {"topic": "diffusion-models"}
Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)
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.
More in Deep Learning
- Deep learning · generative models and autoencoders 4,314
- Deep learning · large language models 2,334
- Deep learning · self supervised learning 1,958
- Deep learning · graph neural networks 1,648
- Deep learning · optimization 953
- Deep learning · representation learning 802
- Deep learning · probabilistic methods 637
- Deep learning · foundation models 536
- Deep learning · causal inference 316
- Deep learning · transfer learning 197