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 551 篇，第 10 / 12 页
- CVPR 2025SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device
- CVPR 2025SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training
- CVPR 2025SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images
- CVPR 2025Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation
- CVPR 2025SpatialDreamer: Self-supervised Stereo Video Synthesis from Monocular Input
- CVPR 2025Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling
- CVPR 2025Spherical Manifold Guided Diffusion Model for Panoramic Image Generation
- CVPR 2025Stable Flow: Vital Layers for Training-Free Image Editing
- CVPR 2025Stable-SCore: A Stable Registration-based Framework for 3D Shape Correspondence
- CVPR 2025StableAnimator: High-Quality Identity-Preserving Human Image Animation
- CVPR 2025StageDesigner: Artistic Stage Generation for Scenography via Theater Scripts
- CVPR 2025StarGen: A Spatiotemporal Autoregression Framework with Video Diffusion Model for Scalable and Controllable Scene Generation
- CVPR 2025STCOcc: Sparse Spatial-Temporal Cascade Renovation for 3D Occupancy and Scene Flow Prediction
- CVPR 2025STDD: Spatio-Temporal Dual Diffusion for Video Generation
- CVPR 2025StdGEN: Semantic-Decomposed 3D Character Generation from Single Images
- CVPR 2025STEPS: Sequential Probability Tensor Estimation for Text-to-Image Hard Prompt Search
- CVPR 2025STEREO: A Two-Stage Framework for Adversarially Robust Concept Erasing from Text-to-Image Diffusion Models
- CVPR 2025StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text
- CVPR 2025StreetCrafter: Street View Synthesis with Controllable Video Diffusion Models
- CVPR 2025Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget
- CVPR 2025StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer
- CVPR 2025SuperPC: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorization
- CVPR 2025SwiftEdit: Lightning Fast Text-Guided Image Editing via One-Step Diffusion
- CVPR 2025Symmetry Strikes Back: From Single-Image Symmetry Detection to 3D Generation
- CVPR 2025Synchronized Video-to-Audio Generation via Mel Quantization-Continuum Decomposition
- CVPR 2025SyncSDE: A Probabilistic Framework for Diffusion Synchronization
- CVPR 2025SyncVP: Joint Diffusion for Synchronous Multi-Modal Video Prediction
- CVPR 2025Synthetic Data is an Elegant GIFT for Continual Vision-Language Models
- CVPR 2025SynthLight: Portrait Relighting with Diffusion Model by Learning to Re-render Synthetic Faces
- CVPR 2025T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting
- CVPR 2025T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Privacy in Image Generation
- CVPR 2025Taming Video Diffusion Prior with Scene-Grounding Guidance for 3D Gaussian Splatting from Sparse Inputs
- CVPR 2025TCFG: Tangential Damping Classifier-free Guidance
- CVPR 2025Temporal Score Analysis for Understanding and Correcting Diffusion Artifacts
- CVPR 2025TexGaussian: Generating High-quality PBR Material via Octree-based 3D Gaussian Splatting
- CVPR 2025Text Embedding is Not All You Need: Attention Control for Text-to-Image Semantic Alignment with Text Self-Attention Maps
- CVPR 2025The Art of Deception: Color Visual Illusions and Diffusion Models
- CVPR 2025The Illusion of Unlearning: The Unstable Nature of Machine Unlearning in Text-to-Image Diffusion Models
- CVPR 2025The Power of Context: How Multimodality Improves Image Super-Resolution
- CVPR 2025Tiled Diffusion
- CVPR 2025Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model
- CVPR 2025TinyFusion: Diffusion Transformers Learned Shallow
- CVPR 2025TKG-DM: Training-free Chroma Key Content Generation Diffusion Model
- CVPR 2025TokenMotion: Decoupled Motion Control via Token Disentanglement for Human-centric Video Generation
- CVPR 2025TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model
- CVPR 2025Tora: Trajectory-oriented Diffusion Transformer for Video Generation
- CVPR 2025Touch2Shape: Touch-Conditioned 3D Diffusion for Shape Exploration and Reconstruction
- CVPR 2025Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards
- CVPR 2025Towards High-fidelity 3D Talking Avatar with Personalized Dynamic Texture
- CVPR 2025Towards Precise Embodied Dialogue Localization via Causality Guided Diffusion
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