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 694 篇，第 13 / 14 页
- NeurIPS 2025Text to Sketch Generation with Multi-Styles
- NeurIPS 2025Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders
- NeurIPS 2025Theoretical Benefit and Limitation of Diffusion Language Model
- NeurIPS 2025ThermalGen: Style-Disentangled Flow-Based Generative Models for RGB-to-Thermal Image Translation
- NeurIPS 2025Time-Embedded Algorithm Unrolling for Computational MRI
- NeurIPS 2025TimeWak: Temporal Chained-Hashing Watermark for Time Series Data
- NeurIPS 2025Token Perturbation Guidance for Diffusion Models
- NeurIPS 2025Topology-aware Graph Diffusion Model with Persistent Homology
- NeurIPS 2025Tortoise and Hare Guidance: Accelerating Diffusion Model Inference with Multirate Integration
- NeurIPS 2025Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction
- NeurIPS 2025Towards a Golden Classifier-Free Guidance Path via Foresight Fixed Point Iterations
- NeurIPS 2025Towards foundational LiDAR world models with efficient latent flow matching
- NeurIPS 2025Towards General Modality Translation with Contrastive and Predictive Latent Diffusion Bridge
- NeurIPS 2025Towards Physical Understanding in Video Generation: A 3D Point Regularization Approach
- NeurIPS 2025Towards Reliable Identification of Diffusion-based Image Manipulations
- NeurIPS 2025Towards Resilient Safety-driven Unlearning for Diffusion Models against Downstream Fine-tuning
- NeurIPS 2025Towards Robust Zero-Shot Reinforcement Learning
- NeurIPS 2025Towards Understanding the Mechanisms of Classifier-Free Guidance
- NeurIPS 2025Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling
- NeurIPS 2025Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN
- NeurIPS 2025Tracing the Roots: Leveraging Temporal Dynamics in Diffusion Trajectories for Origin Attribution
- NeurIPS 2025TractoTransformer: Diffusion MRI Streamline Tractography using CNN and Transformer Networks
- NeurIPS 2025Training-Free Constrained Generation With Stable Diffusion Models
- NeurIPS 2025Training-Free Efficient Video Generation via Dynamic Token Carving
- NeurIPS 2025Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models
- NeurIPS 2025Training-Free Safe Denoisers for Safe Use of Diffusion Models
- NeurIPS 2025Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models
- NeurIPS 2025Transformers for Mixed-type Event Sequences
- NeurIPS 2025Transition Matching: Scalable and Flexible Generative Modeling
- NeurIPS 2025Tree-Guided Diffusion Planner
- NeurIPS 2025TreeGen: A Bayesian Generative Model for Hierarchies
- NeurIPS 2025TRIM: Scalable 3D Gaussian Diffusion Inference with Temporal and Spatial Trimming
- NeurIPS 2025Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference
- NeurIPS 2025Two-Steps Diffusion Policy for Robotic Manipulation via Genetic Denoising
- NeurIPS 2025U-REPA: Aligning Diffusion U-Nets to ViTs
- NeurIPS 2025UFM: A Simple Path towards Unified Dense Correspondence with Flow
- NeurIPS 2025UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights
- NeurIPS 2025UltraHR-100K: Enhancing UHR Image Synthesis with A Large-Scale High-Quality Dataset
- NeurIPS 2025UMAMI: Unifying Masked Autoregressive Models and Deterministic Rendering for View Synthesis
- NeurIPS 2025Uncertainty-Aware Multi-Objective Reinforcement Learning-Guided Diffusion Models for 3D De Novo Molecular Design
- NeurIPS 2025Uncertainty-aware Preference Alignment for Diffusion Policies
- NeurIPS 2025Uncover Governing Law of Pathology Propagation Mechanism Through A Mean-Field Game
- NeurIPS 2025Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
- NeurIPS 2025Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction
- NeurIPS 2025UniLumos: Fast and Unified Image and Video Relighting with Physics-Plausible Feedback
- NeurIPS 2025UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting
- NeurIPS 2025UniTransfer: Video Concept Transfer via Progressive Spatio-Temporal Decomposition
- NeurIPS 2025Universal Few-shot Spatial Control for Diffusion Models
- NeurIPS 2025Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive Activations
- NeurIPS 2025Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator
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