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 6,899 篇，第 126 / 138 页
- CVPR 2023Class-Balancing Diffusion Models
- CVPR 2023Collaborative Diffusion for Multi-Modal Face Generation and Editing
- CVPR 2023Conditional Image-to-Video Generation With Latent Flow Diffusion Models
- CVPR 2023Conditional Text Image Generation With Diffusion Models
- CVPR 2023Consistent View Synthesis With Pose-Guided Diffusion Models
- CVPR 2023Constrained Evolutionary Diffusion Filter for Monocular Endoscope Tracking
- CVPR 2023Controllable Light Diffusion for Portraits
- CVPR 2023Controllable Mesh Generation Through Sparse Latent Point Diffusion Models
- CVPR 2023Correspondence Transformers With Asymmetric Feature Learning and Matching Flow Super-Resolution
- CVPR 2023DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model
- CVPR 2023DCFace: Synthetic Face Generation With Dual Condition Diffusion Model
- CVPR 2023DETRs With Hybrid Matching
- CVPR 2023DiffCollage: Parallel Generation of Large Content With Diffusion Models
- CVPR 2023DiffPose: Toward More Reliable 3D Pose Estimation
- CVPR 2023DiffRF: Rendering-Guided 3D Radiance Field Diffusion
- CVPR 2023DiffSwap: High-Fidelity and Controllable Face Swapping via 3D-Aware Masked Diffusion
- CVPR 2023DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation
- CVPR 2023Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models
- CVPR 2023Diffusion Probabilistic Model Made Slim
- CVPR 2023Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding
- CVPR 2023Diffusion-Based Generation, Optimization, and Planning in 3D Scenes
- CVPR 2023Diffusion-Based Signed Distance Fields for 3D Shape Generation
- CVPR 2023Diffusion-SDF: Text-To-Shape via Voxelized Diffusion
- CVPR 2023DiffusioNeRF: Regularizing Neural Radiance Fields With Denoising Diffusion Models
- CVPR 2023DiffusionRig: Learning Personalized Priors for Facial Appearance Editing
- CVPR 2023Dimensionality-Varying Diffusion Process
- CVPR 2023Distribution Shift Inversion for Out-of-Distribution Prediction
- CVPR 2023DR2: Diffusion-Based Robust Degradation Remover for Blind Face Restoration
- CVPR 2023Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models
- CVPR 2023DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
- CVPR 2023EDGE: Editable Dance Generation From Music
- CVPR 2023EDICT: Exact Diffusion Inversion via Coupled Transformations
- CVPR 2023ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model With Knowledge-Enhanced Mixture-of-Denoising-Experts
- CVPR 2023Executing Your Commands via Motion Diffusion in Latent Space
- CVPR 2023FaceLit: Neural 3D Relightable Faces
- CVPR 2023Fast Point Cloud Generation With Straight Flows
- CVPR 2023FlowGrad: Controlling the Output of Generative ODEs With Gradients
- CVPR 2023Freestyle Layout-to-Image Synthesis
- CVPR 2023GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
- CVPR 2023GANHead: Towards Generative Animatable Neural Head Avatars
- CVPR 2023Generative Diffusion Prior for Unified Image Restoration and Enhancement
- CVPR 2023GLIGEN: Open-Set Grounded Text-to-Image Generation
- CVPR 2023Guided Depth Super-Resolution by Deep Anisotropic Diffusion
- CVPR 2023Heat Diffusion Based Multi-Scale and Geometric Structure-Aware Transformer for Mesh Segmentation
- CVPR 2023Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision
- CVPR 2023High-Fidelity Guided Image Synthesis With Latent Diffusion Models
- CVPR 2023High-Frequency Stereo Matching Network
- CVPR 2023High-Resolution Image Reconstruction With Latent Diffusion Models From Human Brain Activity
- CVPR 2023HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images
- CVPR 2023HouseDiffusion: Vector Floorplan Generation via a Diffusion Model With Discrete and Continuous Denoising
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