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 1,471 篇，第 22 / 30 页
- NeurIPS 2024COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing
- NeurIPS 2024Cryptographic Hardness of Score Estimation
- NeurIPS 2024Ctrl-X: Controlling Structure and Appearance for Text-To-Image Generation Without Guidance
- NeurIPS 2024D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning
- NeurIPS 2024Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning
- NeurIPS 2024DataStealing: Steal Data from Diffusion Models in Federated Learning with Multiple Trojans
- NeurIPS 2024DeBaRA: Denoising-Based 3D Room Arrangement Generation
- NeurIPS 2024DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release
- NeurIPS 2024Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
- NeurIPS 2024DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform
- NeurIPS 2024DenoiseRep: Denoising Model for Representation Learning
- NeurIPS 2024Denoising Diffusion Path: Attribution Noise Reduction with An Auxiliary Diffusion Model
- NeurIPS 2024DePLM: Denoising Protein Language Models for Property Optimization
- NeurIPS 2024DeTrack: In-model Latent Denoising Learning for Visual Object Tracking
- NeurIPS 2024DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers
- NeurIPS 2024DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut
- NeurIPS 2024Differentially Private Graph Diffusion with Applications in Personalized PageRanks
- NeurIPS 2024DiffGS: Functional Gaussian Splatting Diffusion
- NeurIPS 2024DiffHammer: Rethinking the Robustness of Diffusion-Based Adversarial Purification
- NeurIPS 2024DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data
- NeurIPS 2024DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation
- NeurIPS 2024DiffPano: Scalable and Consistent Text to Panorama Generation with Spherical Epipolar-Aware Diffusion
- NeurIPS 2024DiffPO: A causal diffusion model for learning distributions of potential outcomes
- NeurIPS 2024DiffSF: Diffusion Models for Scene Flow Estimation
- NeurIPS 2024DiffuBox: Refining 3D Object Detection with Point Diffusion
- NeurIPS 2024DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge
- NeurIPS 2024DiffuPac: Contextual Mimicry in Adversarial Packets Generation via Diffusion Model
- NeurIPS 2024DiffuserLite: Towards Real-time Diffusion Planning
- NeurIPS 2024Diffusing Differentiable Representations
- NeurIPS 2024Diffusion Actor-Critic with Entropy Regulator
- NeurIPS 2024Diffusion for World Modeling: Visual Details Matter in Atari
- NeurIPS 2024Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
- NeurIPS 2024Diffusion Imitation from Observation
- NeurIPS 2024Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement
- NeurIPS 2024Diffusion Models are Certifiably Robust Classifiers
- NeurIPS 2024Diffusion Models With Learned Adaptive Noise
- NeurIPS 2024Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models
- NeurIPS 2024Diffusion PID: Interpreting Diffusion via Partial Information Decomposition
- NeurIPS 2024Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning
- NeurIPS 2024Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies
- NeurIPS 2024Diffusion Priors for Variational Likelihood Estimation and Image Denoising
- NeurIPS 2024Diffusion Spectral Representation for Reinforcement Learning
- NeurIPS 2024Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting
- NeurIPS 2024Diffusion Twigs with Loop Guidance for Conditional Graph Generation
- NeurIPS 2024Diffusion-based Curriculum Reinforcement Learning
- NeurIPS 2024Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection
- NeurIPS 2024Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization
- NeurIPS 2024Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning
- NeurIPS 2024Diffusion-Inspired Truncated Sampler for Text-Video Retrieval
- NeurIPS 2024Diffusion-Reward Adversarial Imitation Learning
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