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 2,690 篇，第 31 / 54 页
- ICML 2026Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization
- ICML 2026Entropy-Aware Dynamic KV Cache Sparsification for Autoregressive Image Generation and Editing
- ICML 2026Envisioning Beyond the Few: Disentangled Semantics and Primitives for Few-Shot Atypical Layout-to-Image Generation
- ICML 2026EPiC: Efficient Video Camera Control Learning with Precise Anchor-Video Guidance
- ICML 2026Episodic Memory-Guided Controllable Experience Synthesis for Reinforcement Learning
- ICML 2026Epistemic Uncertainty Quantification for Pre-trained VLMs via Riemannian Flow Matching
- ICML 2026Equivariant Latent Alignment via Flow Matching under Group Symmetries
- ICML 2026Erased but Not Forgotten: How Backdoors Compromise Concept Erasure
- ICML 2026Error Analysis of Discrete Flow with Generator Matching
- ICML 2026Error Propagation Mechanisms and Compensation Strategies for Quantized Diffusion Models
- ICML 2026Esoteric Language Models: A Family of Any-Order Diffusion LLMs
- ICML 2026Evaluating the Representation Space of Diffusion Models via Self-Supervised Principles
- ICML 2026Every Step Counts: Decoding Trajectories as Authorship Fingerprints of dLLMs
- ICML 2026Exploring and Exploiting Stability in Latent Flow Matching
- ICML 2026Exploring Data-Free LoRA Transferability for Video Diffusion Models
- ICML 2026Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance
- ICML 2026Exposing Hidden Biases in Text-to-Image Models via Automated Prompt Search
- ICML 2026Factored Classifier-Free Guidance
- ICML 2026FAIL: Flow Matching Adversarial Imitation Learning for Image Generation
- ICML 2026FAIR-Calib: Frontier-Aware Instability-Reweighted Calibration for Post-Training Quantization of Diffusion Large Language Models
- ICML 2026FaPS: A General and Fast Training Method for Diffusion Models
- ICML 2026Fast and Highly Expressive Policy Learning for Offline Reinforcement Learning via Bootstrapped Flow Q-Learning
- ICML 2026Fast and Scalable Analytical Diffusion
- ICML 2026Fast Byte Latent Transformer
- ICML 2026FAST-AR: Fast Autoregressive Video Diffusion and World Models with Temporal Cache Compression and Sparse Attention
- ICML 2026FedPDG: Prediction Discrepancy–Guided Data Generation for Heterogeneous Federated Learning
- ICML 2026FeRA: Frequency-Energy Constrained Routing for Effective Diffusion Adaptation Fine-Tuning
- ICML 2026Finding DoRI: Discovery of Retained Images in Diffusion Models
- ICML 2026Fine-Tuning Masked Diffusion for Provable Self-Correction
- ICML 2026Fisher-Preserving Guidance: Training-Free Manifold Constraints for Safe Diffusion Control
- ICML 2026FLAC: Maximum Entropy RL via Kinetic Energy Regularized Bridge Matching
- ICML 2026FLAG: Foundation model representation with Latent diffusion Alignment via Graph for spatial gene expression prediction
- ICML 2026Flash-GRPO: Efficient Alignment for Video Diffusion via One-Step Policy Optimization
- ICML 2026Flash-VAED: Plug-and-Play VAE Decoders for Efficient Video Generation
- ICML 2026FlashBlock: Attention Caching for Efficient Long-Context Block Diffusion
- ICML 2026Flex-Forcing: Towards a Unified Autoregressive and Bidirectional Video Diffusion Model
- ICML 2026Flexibility-Aware Geometric Latent Diffusion for Full-Atom Peptide Design
- ICML 2026FlexiFlow: decomposable flow matching for generation of flexible molecular ensemble
- ICML 2026Flow for Future: Geometric SE(3)-Equivariant Flow Matching for 3D Trajectory Prediction
- ICML 2026Flow Matching Calibration for Simulation-Based Inference under Model Misspecification
- ICML 2026Flow Sampling : Learning to Sample from Unnormalized Densities via Denoising Conditional Processes
- ICML 2026Flow-Based Density Ratio Estimation for Intractable Distributions with Applications in Genomics
- ICML 2026FlowMAP: Flow Matching for Generalizable Agent Planning
- ICML 2026FlowPET: Physics-Informed Symplectic Flow Matching for Low-Count PET Reconstruction
- ICML 2026FocalPolicy: Frequency-Optimized Chunking and Locally Anchored Flow Matching for Coherent Visuomotor Policy
- ICML 2026FOCUS: DLLMs Know How to Tame Their Compute Bound
- ICML 2026Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking
- ICML 2026Forward-KL Convergence of Time-Inhomogeneous Langevin Diffusions
- ICML 2026Foundation VAE for CT Reconstruction, Augmentation, and Generation
- ICML 2026FourTune: Towards Fully 4-Bit Efficient Post-Training for Diffusion Models
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