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 7 / 36 页
- CVPR 2026Learning Latent Proxies for Controllable Single-Image Relighting
- CVPR 2026Learning Long-term Motion Embeddings for Efficient Kinematics Generation
- CVPR 2026Learning Straight Flows Variational Flow Matching for Efficient Generation
- CVPR 2026Learning to Generate Highly Dynamic Videos using Synthetic Motion Data
- CVPR 2026Learning to Learn Weight Generation via Local Consistency Diffusion
- CVPR 2026LESA Learnable Stage-Aware Predictors for Diffusion Model Acceleration
- CVPR 2026Less is More Data-Efficient Adaptation for Controllable Text-to-Video Generation
- CVPR 2026LiDAR-to-4DRadar Diffusion Bridge via Cross-Modal Alignment and Translation in Latent
- CVPR 2026LIFT and PLACE A Simple Stable and Effective Knowledge Distillation
- CVPR 2026Lighting in Motion Spatiotemporal HDR Lighting Estimation
- CVPR 2026Lighting-grounded Video Generation with Renderer-based Agent Reasoning
- CVPR 2026LightMover Generative Light Movement with Color and Intensity Controls
- CVPR 2026Linear Image Generation by Synthesizing Exposure Brackets
- CVPR 2026LinVideo A Post-Training Framework towards On Attention in Efficient Video
- CVPR 2026LLaDA-MedV Exploring Large Language Diffusion Models for Biomedical Image Understanding
- CVPR 2026LLaDA-V Large Language Diffusion Models with Visual Instruction Tuning
- CVPR 2026LLaMo Scaling Pretrained Language Models for Unified Motion Understanding and
- CVPR 2026LogCD Local-to-global Consistency Distillation for Few-step Image Generation
- CVPR 2026Low-Rank Residual Diffusion Models
- CVPR 2026M3DLayout A Multi-Source Dataset of 3D Indoor Layouts and Structured
- CVPR 2026MAD Motion Appearance Decoupling for efficient Driving World Models
- CVPR 2026MagicFuse Single Image Fusion for Visual and Semantic Reinforcement
- CVPR 2026MagicQuill V2 Precise and Interactive Image Editing with Layered Visual
- CVPR 2026Making Training-Free Diffusion Segmentors Scale with the Generative Power
- CVPR 2026ManifoldGD Training-Free Hierarchical Manifold Guidance for Diffusion-Based Dataset Distillation
- CVPR 2026MapRoutePrecise-Concept Erasing Mappers via Semantic Routing
- CVPR 2026MaskDexGrasp Generative Masked Modeling for Part-Aware Dexterous Grasp Synthesis
- CVPR 2026MaskDiME Adaptive Masked Diffusion for Precise and Efficient Visual Counterfactual
- CVPR 2026Masked Auto-Regressive Variational Acceleration Fast Inference Makes Practical Reinforcement Learning
- CVPR 2026Masked Region Transformer for Layered Image Generation and Editing at
- CVPR 2026MatchMask Mask-Centric Generative Data Augmentation for Label-Scarce Semantic Segmentation
- CVPR 2026MatE Material Extraction from Single-Image via Geometric Prior
- CVPR 2026MatMart Material Reconstruction of 3D Objects via Diffusion
- CVPR 2026MatSpray Fusing 2D Material World Knowledge on 3D Geometry
- CVPR 2026MaxMark High-Capacity Diffusion-Native Watermarking via Robust and Invertible Latent Embedding
- CVPR 2026MeanFlow Transformers with Representation Autoencoders
- CVPR 2026MeanFuser Fast One-Step Multi-Modal Trajectory Generation and Adaptive Reconstruction via
- CVPR 2026Memory-Efficient Fine-Tuning Diffusion Transformers via Dynamic Patch Sampling and Block
- CVPR 2026Mesh4D 4D Mesh Reconstruction and Tracking from Monocular Video
- CVPR 2026MeshFlow Efficient Artistic Mesh Generation via MeshVAE and Flow-based Diffusion
- CVPR 2026MicroFM Physics-guided Flow Matching for Isotropic Microscopy Reconstruction
- CVPR 2026Mind the Generative Details Direct Localized Detail Preference Optimization for
- CVPR 2026Mitigating The Distribution Shift of Diffusion-based Dataset Distillation
- CVPR 2026MixFlow Training Alleviating Exposure Bias with Slowed Interpolation Mixture
- CVPR 2026Mixture of States Routing Token-Level Dynamics for Multimodal Generation
- CVPR 2026MLLMSplat A 2D MLLM-Powered Framework for 3D Gaussian Splatting Understanding
- CVPR 2026MMCP-GEN A Modality-Extensible Diffusion Language Model for Conditional Protein Sequence
- CVPR 2026MMFace-DiT A Dual-Stream Diffusion Transformer for High-Fidelity Multimodal Face Generation
- CVPR 2026mmWaveFlow Unified Enhancement and Generation of mmWave Human Point Clouds
- CVPR 2026Mocap-2-to-3 Multi-view Lifting for Monocular Motion Recovery with 2D Pretraining
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