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 16 / 36 页
- CVPR 2025DreamRelation: Bridging Customization and Relation Generation
- CVPR 2025DRiVE: Diffusion-based Rigging Empowers Generation of Versatile and Expressive Characters
- CVPR 2025DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion Generation
- CVPR 2025DriveScape: High-Resolution Driving Video Generation by Multi-View Feature Fusion
- CVPR 2025DTGBrepGen: A Novel B-rep Generative Model through Decoupling Topology and Geometry
- CVPR 2025Dual Diffusion for Unified Image Generation and Understanding
- CVPR 2025Dual Prompting Image Restoration with Diffusion Transformers
- CVPR 2025Dual-Granularity Semantic Guided Sparse Routing Diffusion Model for General Pansharpening
- CVPR 2025Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation
- CVPR 2025DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling
- CVPR 2025Dynamic Motion Blending for Versatile Motion Editing
- CVPR 2025DynamicScaler: Seamless and Scalable Video Generation for Panoramic Scenes
- CVPR 2025Early-Bird Diffusion: Investigating and Leveraging Timestep-Aware Early-Bird Tickets in Diffusion Models for Efficient Training
- CVPR 2025EchoMatch: Partial-to-Partial Shape Matching via Correspondence Reflection
- CVPR 2025EDEN: Enhanced Diffusion for High-quality Large-motion Video Frame Interpolation
- CVPR 2025Edge-SD-SR: Low Latency and Parameter Efficient On-device Super-Resolution with Stable Diffusion via Bidirectional Conditioning
- CVPR 2025EdgeDiff: Edge-aware Diffusion Network for Building Reconstruction from Point Clouds
- CVPR 2025Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing
- CVPR 2025EditAR: Unified Conditional Generation with Autoregressive Models
- CVPR 2025EditSplat: Multi-View Fusion and Attention-Guided Optimization for View-Consistent 3D Scene Editing with 3D Gaussian Splatting
- CVPR 2025EDM: Equirectangular Projection-Oriented Dense Kernelized Feature Matching
- CVPR 2025Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design Space
- CVPR 2025Efficient Diffusion as Low Light Enhancer
- CVPR 2025Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models
- CVPR 2025Efficient Personalization of Quantized Diffusion Model without Backpropagation
- CVPR 2025EIDT-V: Exploiting Intersections in Diffusion Trajectories for Model-Agnostic, Zero-Shot, Training-Free Text-to-Video Generation
- CVPR 2025EmoDubber: Towards High Quality and Emotion Controllable Movie Dubbing
- CVPR 2025EmotiveTalk: Expressive Talking Head Generation through Audio Information Decoupling and Emotional Video Diffusion
- CVPR 2025EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space
- CVPR 2025Enhancing Creative Generation on Stable Diffusion-based Models
- CVPR 2025Enhancing Dance-to-Music Generation via Negative Conditioning Latent Diffusion Model
- CVPR 2025Enhancing Facial Privacy Protection via Weakening Diffusion Purification
- CVPR 2025Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models
- CVPR 2025Erase Diffusion: Empowering Object Removal Through Calibrating Diffusion Pathways
- CVPR 2025Erasing Undesirable Influence in Diffusion Models
- CVPR 2025Estimating Body and Hand Motion in an Ego-sensed World
- CVPR 2025Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment
- CVPR 2025Explaining in Diffusion: Explaining a Classifier with Diffusion Semantics
- CVPR 2025Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis
- CVPR 2025Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis
- CVPR 2025Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think
- CVPR 2025FADA: Fast Diffusion Avatar Synthesis with Mixed-Supervised Multi-CFG Distillation
- CVPR 2025FADE: Frequency-Aware Diffusion Model Factorization for Video Editing
- CVPR 2025FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution
- CVPR 2025FAM Diffusion: Frequency and Attention Modulation for High-Resolution Image Generation with Stable Diffusion
- CVPR 2025Fancy123: One Image to High-Quality 3D Mesh Generation via Plug-and-Play Deformation
- CVPR 2025FDS: Frequency-Aware Denoising Score for Text-Guided Latent Diffusion Image Editing
- CVPR 2025FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models
- CVPR 2025FeedEdit: Text-Based Image Editing with Dynamic Feedback Regulation
- CVPR 2025Finding Local Diffusion Schrodinger Bridge using Kolmogorov-Arnold Network
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