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 105 / 138 页
- CVPR 2024TextCraftor: Your Text Encoder Can be Image Quality Controller
- CVPR 2024Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On
- CVPR 2024TextureDreamer: Image-Guided Texture Synthesis Through Geometry-Aware Diffusion
- CVPR 2024TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models
- CVPR 2024The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes
- CVPR 2024The More You See in 2D the More You Perceive in 3D
- CVPR 2024TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models
- CVPR 2024TIGER: Time-Varying Denoising Model for 3D Point Cloud Generation with Diffusion Process
- CVPR 2024TokenCompose: Text-to-Image Diffusion with Token-level Supervision
- CVPR 2024Total Selfie: Generating Full-Body Selfies
- CVPR 2024Towards Accurate Post-training Quantization for Diffusion Models
- CVPR 2024Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation
- CVPR 2024Towards Generalizable Tumor Synthesis
- CVPR 2024Towards Memorization-Free Diffusion Models
- CVPR 2024Towards More Accurate Diffusion Model Acceleration with A Timestep Tuner
- CVPR 2024Towards Realistic Scene Generation with LiDAR Diffusion Models
- CVPR 2024Towards Text-guided 3D Scene Composition
- CVPR 2024Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing
- CVPR 2024Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning
- CVPR 2024Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation
- CVPR 2024TRIP: Temporal Residual Learning with Image Noise Prior for Image-to-Video Diffusion Models
- CVPR 2024Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers
- CVPR 2024UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion
- CVPR 2024UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs
- CVPR 2024UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided Textures
- CVPR 2024UniGS: Unified Representation for Image Generation and Segmentation
- CVPR 2024Unknown Prompt the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization
- CVPR 2024Unlocking Pre-trained Image Backbones for Semantic Image Synthesis
- CVPR 2024Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising
- CVPR 2024UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model
- CVPR 2024Unsupervised Keypoints from Pretrained Diffusion Models
- CVPR 2024Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution
- CVPR 2024Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
- CVPR 2024UV-IDM: Identity-Conditioned Latent Diffusion Model for Face UV-Texture Generation
- CVPR 2024VecFusion: Vector Font Generation with Diffusion
- CVPR 2024Vector Graphics Generation via Mutually Impulsed Dual-domain Diffusion
- CVPR 2024Versatile Navigation Under Partial Observability via Value-guided Diffusion Policy
- CVPR 2024Video Interpolation with Diffusion Models
- CVPR 2024Video Prediction by Modeling Videos as Continuous Multi-Dimensional Processes
- CVPR 2024Video-P2P: Video Editing with Cross-attention Control
- CVPR 2024VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
- CVPR 2024VidToMe: Video Token Merging for Zero-Shot Video Editing
- CVPR 2024ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models
- CVPR 2024ViewFusion: Towards Multi-View Consistency via Interpolated Denoising
- CVPR 2024Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models
- CVPR 2024Visual Layout Composer: Image-Vector Dual Diffusion Model for Design Layout Generation
- CVPR 2024ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models
- CVPR 2024Vlogger: Make Your Dream A Vlog
- CVPR 2024VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models
- CVPR 2024VP3D: Unleashing 2D Visual Prompt for Text-to-3D Generation
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