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 110 / 138 页
- ICLR 2024OmniControl: Control Any Joint at Any Time for Human Motion Generation
- ICLR 2024On Accelerating Diffusion-Based Sampling Processes via Improved Integration Approximation
- ICLR 2024On Diffusion Modeling for Anomaly Detection
- ICLR 2024On Error Propagation of Diffusion Models
- ICLR 2024On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models
- ICLR 2024On the Stability of Iterative Retraining of Generative Models on their own Data
- ICLR 2024PanoDiffusion: 360-degree Panorama Outpainting via Diffusion
- ICLR 2024Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization
- ICLR 2024Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
- ICLR 2024Patched Denoising Diffusion Models For High-Resolution Image Synthesis
- ICLR 2024PhyloGFN: Phylogenetic inference with generative flow networks
- ICLR 2024PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
- ICLR 2024PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code
- ICLR 2024Probabilistic Adaptation of Black-Box Text-to-Video Models
- ICLR 2024Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts
- ICLR 2024Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models
- ICLR 2024R&B: Region and Boundary Aware Zero-shot Grounded Text-to-image Generation
- ICLR 2024Reasoning with Latent Diffusion in Offline Reinforcement Learning
- ICLR 2024Relay Diffusion: Unifying diffusion process across resolutions for image synthesis
- ICLR 2024Reverse Diffusion Monte Carlo
- ICLR 2024Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
- ICLR 2024Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
- ICLR 2024SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
- ICLR 2024Scalable Diffusion for Materials Generation
- ICLR 2024Scale-Adaptive Diffusion Model for Complex Sketch Synthesis
- ICLR 2024ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models
- ICLR 2024Score Regularized Policy Optimization through Diffusion Behavior
- ICLR 2024Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian distributions
- ICLR 2024SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
- ICLR 2024SE(3)-Stochastic Flow Matching for Protein Backbone Generation
- ICLR 2024Seer: Language Instructed Video Prediction with Latent Diffusion Models
- ICLR 2024SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction
- ICLR 2024Self-Consuming Generative Models Go MAD
- ICLR 2024Separate and Diffuse: Using a Pretrained Diffusion Model for Better Source Separation
- ICLR 2024Simple Hierarchical Planning with Diffusion
- ICLR 2024Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape
- ICLR 2024Single Motion Diffusion
- ICLR 2024SLiMe: Segment Like Me
- ICLR 2024Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models
- ICLR 2024Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution
- ICLR 2024Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
- ICLR 2024Space Group Constrained Crystal Generation
- ICLR 2024Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation
- ICLR 2024sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows
- ICLR 2024Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling
- ICLR 2024SweetDreamer: Aligning Geometric Priors in 2D diffusion for Consistent Text-to-3D
- ICLR 2024Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation
- ICLR 2024SyncDreamer: Generating Multiview-consistent Images from a Single-view Image
- ICLR 2024TapMo: Shape-aware Motion Generation of Skeleton-free Characters
- ICLR 2024Text-to-3D with Classifier Score Distillation
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