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 5 / 14 页
- ICLR 2026EasyCreator: Empowering 4D Creation through Video Inpainting
- ICLR 2026EasyTune: Efficient Step-Aware Fine-Tuning for Diffusion-Based Motion Generation
- ICLR 2026EchoGen: Generating Visual Echoes in Any Scene via Feed-Forward Subject-Driven Auto-Regressive Model
- ICLR 2026EchoMotion: Unified Human Video and Motion Generation via Dual-Modality Diffusion Transformer
- ICLR 2026Edit-Based Flow Matching for Temporal Point Processes
- ICLR 2026Efficient Regression-based Training of Normalizing Flows for Boltzmann Generators
- ICLR 2026Efficient Zero-shot Inpainting with Decoupled Diffusion Guidance
- ICLR 2026EffiVMT: Video Motion Transfer via Efficient Spatial-Temporal Decoupled Finetuning
- ICLR 2026EgoWorld: Translating Exocentric View to Egocentric View using Rich Exocentric Observations
- ICLR 2026EigenScore: OOD Detection using Posterior Covariance in Diffusion Models
- ICLR 2026Eliminating VAE for Fast and High-Resolution Generative Detail Restoration
- ICLR 2026Enhancing Diffusion-Based Sampling with Molecular Collective Variables
- ICLR 2026Entering the Era of Discrete Diffusion Models: A Benchmark for Schrödinger Bridges and Entropic Optimal Transport
- ICLR 2026EnvSocial-Diff: A Diffusion-Based Crowd Simulation Model with Environmental Conditioning and Individual-Group Interaction
- ICLR 2026Error as Signal: Stiffness-Aware Diffusion Sampling via Embedded Runge-Kutta Guidance
- ICLR 2026ERTACache: Error Rectification and Timesteps Adjustment for Efficient Diffusion
- ICLR 2026ES-dLLM: Efficient Inference for Diffusion Large Language Models by Early-Skipping
- ICLR 2026Evaluating Intuitive Physics Understanding in Video Diffusion Models via Likelihood Preference
- ICLR 2026Event-T2M: Event-level Conditioning for Complex Text-to-Motion Synthesis
- ICLR 2026Evolutionary Caching to Accelerate Your Off-the-Shelf Diffusion Model
- ICLR 2026Exploratory Diffusion Model for Unsupervised Reinforcement Learning
- ICLR 2026Exploring Cross-Modal Flows for Few-Shot Learning
- ICLR 2026Exploring Specular Reflection Inconsistency for Generalizable Face Forgery Detection
- ICLR 2026Exploring the Design Space of Transition Matching
- ICLR 2026EXPO: Stable Reinforcement Learning with Expressive Policies
- ICLR 2026FACM: Flow-Anchored Consistency Models
- ICLR 2026Faithfulness Under the Distribution: A New Look at Attribution Evaluation
- ICLR 2026FALCON: Few-step Accurate Likelihoods for Continuous Flows
- ICLR 2026FARI: Robust One-Step Inversion for Watermarking in Diffusion Models
- ICLR 2026Fast-dLLM v2: Efficient Block-Diffusion LLM
- ICLR 2026Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding
- ICLR 2026FAST‑DIPS: Adjoint‑Free Analytic Steps and Hard‑Constrained Likelihood Correction for Diffusion‑Prior Inverse Problems
- ICLR 2026FastFlow: Accelerating The Generative Flow Matching Models with Bandit Inference
- ICLR 2026FastVMT: Eliminating Redundancy in Video Motion Transfer
- ICLR 2026FideDiff: Efficient Diffusion Model for High-Fidelity Image Motion Deblurring
- ICLR 2026Fine-Tuning Diffusion Models via Intermediate Distribution Shaping
- ICLR 2026Finite-Time Convergence Analysis of ODE-based Generative Models for Stochastic Interpolants
- ICLR 2026FlashDLM: Accelerating Diffusion Language Model Inference via Efficient KV Caching and Guided Diffusion
- ICLR 2026FlashWorld: High-quality 3D Scene Generation within Seconds
- ICLR 2026FlexProtein: Joint Sequence and Structure Pretraining for Protein Modeling
- ICLR 2026floq: Training Critics via Flow-Matching for Scaling Compute in Value-Based RL
- ICLR 2026Flow Actor-Critic for Offline Reinforcement Learning
- ICLR 2026Flow Along the $K$-Amplitude for Generative Modeling
- ICLR 2026Flow Autoencoders are Effective Protein Tokenizers
- ICLR 2026Flow Caching for Autoregressive Video Generation
- ICLR 2026Flow Expansion via Verifier-Constrained Noised State Space Exploration
- ICLR 2026Flow Map Learning via Games
- ICLR 2026Flow Matching Policy Gradients
- ICLR 2026Flow Matching with Injected Noise for Offline-to-Online Reinforcement Learning
- ICLR 2026Flow Matching with Semidiscrete Couplings
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