扩散模型论文趋势 2023–2026
扩散、flow matching 与 score-based 生成
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 6,900 篇被归入该主题的论文。
主要结论
- 扩散模型论文从 2023 年的 660 篇增长到 2026 年的 2,691 篇，三年间扩大到约 4.1 倍。
- NeurIPS 是发扩散模型论文最多的会议，2023–2026 年共 2,202 篇，占四个会议总量的 32%。
- 交叉方向里涨得最快的是应用 · chemistry physics and earth sciences：同时属于两个主题的论文从 2023 年的 14 篇增至 2026 年的 163 篇。
- 在「深度学习」的 11 个主题里，它的 2026 年论文数排第 1；同组增长最快的深度学习 · foundation models是 2.5 倍，扩散模型是 4.1 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 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 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- 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
全部扩散模型论文
共 1,471 篇，第 29 / 30 页
- NeurIPS 2024Stochastic Optimal Control for Diffusion Bridges in Function Spaces
- NeurIPS 2024Stochastic Optimal Control Matching
- NeurIPS 2024StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation
- NeurIPS 2024Stylebreeder: Exploring and Democratizing Artistic Styles through Text-to-Image Models
- NeurIPS 2024Stylus: Automatic Adapter Selection for Diffusion Models
- NeurIPS 2024SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning
- NeurIPS 2024Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning
- NeurIPS 2024Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques
- NeurIPS 2024SyncTweedies: A General Generative Framework Based on Synchronized Diffusions
- NeurIPS 2024Synergistic Dual Spatial-aware Generation of Image-to-text and Text-to-image
- NeurIPS 2024T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback
- NeurIPS 2024Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation
- NeurIPS 2024Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs
- NeurIPS 2024Taming Generative Diffusion Prior for Universal Blind Image Restoration
- NeurIPS 2024Text-Aware Diffusion for Policy Learning
- NeurIPS 2024Text-DiFuse: An Interactive Multi-Modal Image Fusion Framework based on Text-modulated Diffusion Model
- NeurIPS 2024TFG: Unified Training-Free Guidance for Diffusion Models
- NeurIPS 2024The GAN is dead; long live the GAN! A Modern GAN Baseline
- NeurIPS 2024The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Models
- NeurIPS 2024Theoretical guarantees in KL for Diffusion Flow Matching
- NeurIPS 2024Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models
- NeurIPS 2024Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis
- NeurIPS 2024Towards Editing Time Series
- NeurIPS 2024Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing
- NeurIPS 2024Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model
- NeurIPS 2024TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation
- NeurIPS 2024Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy
- NeurIPS 2024Trajectory Diffusion for ObjectGoal Navigation
- NeurIPS 2024Trajectory Flow Matching with Applications to Clinical Time Series Modelling
- NeurIPS 2024Transfer Learning for Diffusion Models
- NeurIPS 2024Transferable Boltzmann Generators
- NeurIPS 2024Treeffuser: probabilistic prediction via conditional diffusions with gradient-boosted trees
- NeurIPS 2024TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models
- NeurIPS 2024U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers
- NeurIPS 2024UDPM: Upsampling Diffusion Probabilistic Models
- NeurIPS 2024UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks
- NeurIPS 2024Understanding and Improving Training-free Loss-based Diffusion Guidance
- NeurIPS 2024Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure
- NeurIPS 2024Understanding Hallucinations in Diffusion Models through Mode Interpolation
- NeurIPS 2024Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement
- NeurIPS 2024Unified Guidance for Geometry-Conditioned Molecular Generation
- NeurIPS 2024UniFL: Improve Latent Diffusion Model via Unified Feedback Learning
- NeurIPS 2024Unifying Generation and Prediction on Graphs with Latent Graph Diffusion
- NeurIPS 2024Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image
- NeurIPS 2024UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models
- NeurIPS 2024Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
- NeurIPS 2024Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
- NeurIPS 2024Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance
- NeurIPS 2024Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation
- NeurIPS 2024Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查扩散模型在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "diffusion-models"}
常见问题
- 2023–2026 年四大会议一共有多少篇扩散模型论文？
- 共 6,900 篇，按年份分别是 2023 年 660 篇、2024 年 1,471 篇、2025 年 2,078 篇、2026 年 2,691 篇。
- NeurIPS 2026 有多少篇扩散模型论文？
- NeurIPS 2026 有 661 篇扩散模型论文，上一届是 694 篇。
- ICLR 2026 有多少篇扩散模型论文？
- ICLR 2026 有 694 篇扩散模型论文，上一届是 487 篇。
- ICML 2026 有多少篇扩散模型论文？
- ICML 2026 有 728 篇扩散模型论文，上一届是 346 篇。
- CVPR 2026 有多少篇扩散模型论文？
- CVPR 2026 有 608 篇扩散模型论文，上一届是 551 篇。
- 哪个会议的扩散模型论文最多？
- NeurIPS，2023–2026 年共 2,202 篇。
「深度学习」下的其他主题
- 深度学习 · generative models and autoencoders 4,314
- 深度学习 · large language models 2,334
- 深度学习 · self supervised learning 1,958
- 深度学习 · graph neural networks 1,648
- 深度学习 · optimization 953
- 深度学习 · representation learning 802
- 深度学习 · probabilistic methods 637
- 深度学习 · foundation models 536
- 深度学习 · causal inference 316
- 深度学习 · transfer learning 197