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 496 篇，第 7 / 10 页
- CVPR 2024Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking
- CVPR 2024MotionEditor: Editing Video Motion via Content-Aware Diffusion
- CVPR 2024Move Anything with Layered Scene Diffusion
- CVPR 2024Move as You Say Interact as You Can: Language-guided Human Motion Generation with Scene Affordance
- CVPR 2024MPOD123: One Image to 3D Content Generation Using Mask-enhanced Progressive Outline-to-Detail Optimization
- CVPR 2024MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection
- CVPR 2024MultiDiff: Consistent Novel View Synthesis from a Single Image
- CVPR 2024MVD-Fusion: Single-view 3D via Depth-consistent Multi-view Generation
- CVPR 2024NeRFiller: Completing Scenes via Generative 3D Inpainting
- CVPR 2024Neural Markov Random Field for Stereo Matching
- CVPR 2024Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation
- CVPR 2024Neural Sign Actors: A Diffusion Model for 3D Sign Language Production from Text
- CVPR 2024NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis
- CVPR 2024NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation
- CVPR 2024NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models
- CVPR 2024NoiseCollage: A Layout-Aware Text-to-Image Diffusion Model Based on Noise Cropping and Merging
- CVPR 2024NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors
- CVPR 2024Object Pose Estimation via the Aggregation of Diffusion Features
- CVPR 2024Observation-Guided Diffusion Probabilistic Models
- CVPR 2024OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllers
- CVPR 2024On Exact Inversion of DPM-Solvers
- CVPR 2024One More Step: A Versatile Plug-and-Play Module for Rectifying Diffusion Schedule Flaws and Enhancing Low-Frequency Controls
- CVPR 2024One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion
- CVPR 2024One-dimensional Adapter to Rule Them All: Concepts Diffusion Models and Erasing Applications
- CVPR 2024One-Shot Structure-Aware Stylized Image Synthesis
- CVPR 2024One-step Diffusion with Distribution Matching Distillation
- CVPR 2024Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models
- CVPR 2024Optimizing Diffusion Noise Can Serve As Universal Motion Priors
- CVPR 2024Orthogonal Adaptation for Modular Customization of Diffusion Models
- CVPR 2024Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata
- CVPR 2024Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models
- CVPR 2024PAIR Diffusion: A Comprehensive Multimodal Object-Level Image Editor
- CVPR 2024Partial-to-Partial Shape Matching with Geometric Consistency
- CVPR 2024PEEKABOO: Interactive Video Generation via Masked-Diffusion
- CVPR 2024PEGASUS: Personalized Generative 3D Avatars with Composable Attributes
- CVPR 2024Personalized Residuals for Concept-Driven Text-to-Image Generation
- CVPR 2024Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models
- CVPR 2024PFStorer: Personalized Face Restoration and Super-Resolution
- CVPR 2024PhyScene: Physically Interactable 3D Scene Synthesis for Embodied AI
- CVPR 2024PI3D: Efficient Text-to-3D Generation with Pseudo-Image Diffusion
- CVPR 2024pix2gestalt: Amodal Segmentation by Synthesizing Wholes
- CVPR 2024Plug-and-Play Diffusion Distillation
- CVPR 2024Point Cloud Pre-training with Diffusion Models
- CVPR 2024PointInfinity: Resolution-Invariant Point Diffusion Models
- CVPR 2024PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization
- CVPR 2024Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery
- CVPR 2024Posterior Distillation Sampling
- CVPR 2024PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models
- CVPR 2024Predicated Diffusion: Predicate Logic-Based Attention Guidance for Text-to-Image Diffusion Models
- CVPR 2024ProMark: Proactive Diffusion Watermarking for Causal Attribution
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