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 520 篇，第 5 / 11 页
- NeurIPS 2024Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation
- NeurIPS 2024Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models
- NeurIPS 2024Face2QR: A Unified Framework for Aesthetic, Face-Preserving, and Scannable QR Code Generation
- NeurIPS 2024Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation
- NeurIPS 2024FashionR2R: Texture-preserving Rendered-to-Real Image Translation with Diffusion Models
- NeurIPS 2024Fast and Memory-Efficient Video Diffusion Using Streamlined Inference
- NeurIPS 2024Fast samplers for Inverse Problems in Iterative Refinement models
- NeurIPS 2024Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time
- NeurIPS 2024Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
- NeurIPS 2024FastDrag: Manipulate Anything in One Step
- NeurIPS 2024Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference
- NeurIPS 2024Faster Local Solvers for Graph Diffusion Equations
- NeurIPS 2024FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification
- NeurIPS 2024Few-Shot Diffusion Models Escape the Curse of Dimensionality
- NeurIPS 2024FewViewGS: Gaussian Splatting with Few View Matching and Multi-stage Training
- NeurIPS 2024FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation
- NeurIPS 2024FIFO-Diffusion: Generating Infinite Videos from Text without Training
- NeurIPS 2024Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
- NeurIPS 2024Fisher Flow Matching for Generative Modeling over Discrete Data
- NeurIPS 2024FiVA: Fine-grained Visual Attribute Dataset for Text-to-Image Diffusion Models
- NeurIPS 2024FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling
- NeurIPS 2024Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching
- NeurIPS 2024FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions
- NeurIPS 2024FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner
- NeurIPS 2024FouRA: Fourier Low-Rank Adaptation
- NeurIPS 2024FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention
- NeurIPS 2024Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching
- NeurIPS 2024From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models
- NeurIPS 2024Full-Atom Peptide Design with Geometric Latent Diffusion
- NeurIPS 2024FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images
- NeurIPS 2024General Articulated Objects Manipulation in Real Images via Part-Aware Diffusion Process
- NeurIPS 2024Generalized Protein Pocket Generation with Prior-Informed Flow Matching
- NeurIPS 2024Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization
- NeurIPS 2024Generating compositional scenes via Text-to-image RGBA Instance Generation
- NeurIPS 2024Generating Highly Designable Proteins with Geometric Algebra Flow Matching
- NeurIPS 2024Generative Fractional Diffusion Models
- NeurIPS 2024Generative Hierarchical Materials Search
- NeurIPS 2024Generative Modelling of Structurally Constrained Graphs
- NeurIPS 2024GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell Genomics
- NeurIPS 2024GenRec: Unifying Video Generation and Recognition with Diffusion Models
- NeurIPS 2024GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping
- NeurIPS 2024Geometric Trajectory Diffusion Models
- NeurIPS 2024Gradient Guidance for Diffusion Models: An Optimization Perspective
- NeurIPS 2024Gradient-free Decoder Inversion in Latent Diffusion Models
- NeurIPS 2024Graph Diffusion Policy Optimization
- NeurIPS 2024Graph Diffusion Transformers for Multi-Conditional Molecular Generation
- NeurIPS 2024GrounDiT: Grounding Diffusion Transformers via Noisy Patch Transplantation
- NeurIPS 2024Group and Shuffle: Efficient Structured Orthogonal Parametrization
- NeurIPS 2024GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning
- NeurIPS 2024Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
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