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 728 篇，第 11 / 15 页
- ICML 2026Reconstructing Template-Memorized Images from Natural Prompts
- ICML 2026RECOVER: Reliable Detection of Unauthorized Data Usage in Text-to-Image Diffusion Models via Inversion Robustness
- ICML 2026Recovering Hidden Reward in Diffusion-Based Policies
- ICML 2026Reflex: Real-Time Vision-Language-Action Control through Streaming Inference
- ICML 2026ReGen: Hierarchical Multi-Prompt Representation Generation for Efficient Waveform Diffusion Models
- ICML 2026Reinforced Sequential Monte Carlo for Amortised Sampling
- ICML 2026Reinforcement Learning with Discrete Diffusion Policies for Combinatorial Action Spaces
- ICML 2026Relighting as a Probe of Visual Priors via Augmented Latent Intrinsics
- ICML 2026Rényi Diffusion Models
- ICML 2026RePack then Refine: Efficient Diffusion Transformers with Vision Foundation Models
- ICML 2026Residual Context Diffusion Language Models
- ICML 2026Resolving Blind Inverse Problems under Dynamic Range Compression via Structured Forward Operator Modeling
- ICML 2026Responsible Text-to-Image Diffusion: Interpretable and Linearly Controllable Semantics for Fair and Safe Generation
- ICML 2026REST: Diffusion-based Real-time End-to-end Streaming Talking Head Generation via ID-Context Caching and Asynchronous Streaming Distillation
- ICML 2026Restoring Initial Noise Sensitivity in Text-to-Image Distillation through Geometric Alignment
- ICML 2026Rethinking 3D Shape Generation: Diffusion over Superquadrics
- ICML 2026Rethinking Forgery Attacks on Semantic Watermarks in Black-Box Settings: A Geometric Distortion Perspective
- ICML 2026Rethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Likelihood Estimation Beyond Loss Design
- ICML 2026Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance
- ICML 2026Rethinking Visual Intelligence: Insights from Video Pretraining
- ICML 2026RevealLayer: Disentangling Hidden and Visible Layers via Occlusion-Aware Image Decomposition
- ICML 2026Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies
- ICML 2026Revisiting Pre-Propagation GNNs: Robust Diffusion Operators and Hidden-State Re-Propagation
- ICML 2026Revisiting Spectral Representations in Generative Diffusion Models
- ICML 2026Rex: A Family of Reversible Exponential (Stochastic) Runge-Kutta Solvers
- ICML 2026RiboSphere: Learning Unified and Efficient Representations of RNA Structures
- ICML 2026Riemannian Diffusion Models on General Manifolds via Physics-Informed Neural Networks
- ICML 2026Riemannian MeanFlow for One-Step Generation on Manifolds
- ICML 2026Riemannian Metric Matching for Scalable Geometric Modeling of Distributions
- ICML 2026RNA-FM: Flow-Matching Generative Model for Genome-wide RNA-Seq Prediction
- ICML 2026RobuQ: Pushing DiTs to W1.58A2 via Robust Activation Quantization
- ICML 2026Robust Parallel Diffusion Sampling via Dynamic Jacobian Bandwidth
- ICML 2026RSTR: Reducing SpatioTemporal Redundancy in Diffusion Transformers
- ICML 2026RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models
- ICML 2026SAD-Flower: Flow Matching for Safe, Admissible, and Dynamically Consistent Planning
- ICML 2026SAEmnesia: Erasing Concepts in Diffusion Models with Supervised Sparse Autoencoders
- ICML 2026SALSA-V: Shortcut-Augmented Long-form Synchronized Audio from Videos
- ICML 2026SAM Audio: Segment Anything in Audio
- ICML 2026Sample from What You See: Visuomotor Policy Learning via Diffusion Bridge with Observation-Embedded Stochastic Differential Equation
- ICML 2026Sample-Efficient Diffusion-based Reinforcement Learning with Critic Guidance
- ICML 2026SAMT: Generating Structured Avatar Meshes and Textures from a Single Image
- ICML 2026Saving Foundation Flow-Matching Priors for Inverse Problems
- ICML 2026Scalable Simulation-Based Model Inference with Test-Time Complexity Control
- ICML 2026Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models
- ICML 2026SCalDA: Semantics-Calibrated and Diffusion-Enhanced Data Augmentation
- ICML 2026Scaling Beyond Masked Diffusion Language Models
- ICML 2026Scaling Multi-Agent Environment Co-Design with Diffusion Models
- ICML 2026Scaling the Prior: Size-Consistent Geometric Diffusion for 3D Molecular Generation
- ICML 2026scCBGM: Single-Cell Editing via Concept Bottlenecks
- ICML 2026scChord: A Probabilistic Manifold Rectification Framework for RNA-to-Protein Translation
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