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 1,792 篇，第 35 / 36 页
- 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
- CVPR 2023How to Backdoor Diffusion Models?
- CVPR 2023Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting
- CVPR 2023Imagic: Text-Based Real Image Editing With Diffusion Models
- CVPR 2023Implicit Diffusion Models for Continuous Super-Resolution
- CVPR 2023InstructPix2Pix: Learning To Follow Image Editing Instructions
- CVPR 2023Inversion-Based Style Transfer With Diffusion Models
- CVPR 2023Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures
- CVPR 2023LayoutDiffusion: Controllable Diffusion Model for Layout-to-Image Generation
- CVPR 2023LayoutDM: Discrete Diffusion Model for Controllable Layout Generation
- CVPR 2023LayoutDM: Transformer-Based Diffusion Model for Layout Generation
- CVPR 2023Leapfrog Diffusion Model for Stochastic Trajectory Prediction
- CVPR 2023Learning Locally Editable Virtual Humans
- CVPR 2023Learning Optical Expansion From Scale Matching
- CVPR 2023LEGO-Net: Learning Regular Rearrangements of Objects in Rooms
- CVPR 2023Lookahead Diffusion Probabilistic Models for Refining Mean Estimation
- CVPR 2023Magic3D: High-Resolution Text-to-3D Content Creation
- CVPR 2023MAGVIT: Masked Generative Video Transformer
- CVPR 2023Matching Is Not Enough: A Two-Stage Framework for Category-Agnostic Pose Estimation
- CVPR 2023MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation
- CVPR 2023Mofusion: A Framework for Denoising-Diffusion-Based Motion Synthesis
- CVPR 2023Multi-Concept Customization of Text-to-Image Diffusion
- CVPR 2023NeRDi: Single-View NeRF Synthesis With Language-Guided Diffusion As General Image Priors
- CVPR 2023NeuralField-LDM: Scene Generation With Hierarchical Latent Diffusion Models
- CVPR 2023NeuralLift-360: Lifting an In-the-Wild 2D Photo to a 3D Object With 360deg Views
- CVPR 2023NULL-Text Inversion for Editing Real Images Using Guided Diffusion Models
- CVPR 2023ObjectStitch: Object Compositing With Diffusion Model
- CVPR 2023On Distillation of Guided Diffusion Models
- CVPR 2023Open-Vocabulary Panoptic Segmentation With Text-to-Image Diffusion Models
- CVPR 2023OVTrack: Open-Vocabulary Multiple Object Tracking
- CVPR 2023Paint by Example: Exemplar-Based Image Editing With Diffusion Models
- CVPR 2023Parallel Diffusion Models of Operator and Image for Blind Inverse Problems
- CVPR 2023PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction
- CVPR 2023PDPP:Projected Diffusion for Procedure Planning in Instructional Videos
- CVPR 2023Person Image Synthesis via Denoising Diffusion Model
- CVPR 2023Physics-Driven Diffusion Models for Impact Sound Synthesis From Videos
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