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 9 / 11 页
- NeurIPS 2024Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising
- NeurIPS 2024ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization
- NeurIPS 2024ReplaceAnything3D: Text-Guided Object Replacement in 3D Scenes with Compositional Scene Representations
- NeurIPS 2024Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design
- NeurIPS 2024Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise
- NeurIPS 2024Rethinking Score Distillation as a Bridge Between Image Distributions
- NeurIPS 2024Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective
- NeurIPS 2024Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation
- NeurIPS 2024Retrieval-Augmented Diffusion Models for Time Series Forecasting
- NeurIPS 2024Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference
- NeurIPS 2024ReVideo: Remake a Video with Motion and Content Control
- NeurIPS 2024ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization
- NeurIPS 2024SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset
- NeurIPS 2024SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification
- NeurIPS 2024Scene Graph Disentanglement and Composition for Generalizable Complex Image Generation
- NeurIPS 2024SceneCraft: Layout-Guided 3D Scene Generation
- NeurIPS 2024SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout
- NeurIPS 2024Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing
- NeurIPS 2024Schrodinger Bridge Flow for Unpaired Data Translation
- NeurIPS 2024Score Distillation via Reparametrized DDIM
- NeurIPS 2024Score-based generative models are provably robust: an uncertainty quantification perspective
- NeurIPS 2024Score-Optimal Diffusion Schedules
- NeurIPS 2024SCube: Instant Large-Scale Scene Reconstruction using VoxSplats
- NeurIPS 2024SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-Resolution
- NeurIPS 2024Self-Play Fine-tuning of Diffusion Models for Text-to-image Generation
- NeurIPS 2024Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations
- NeurIPS 2024SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data
- NeurIPS 2024SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow
- NeurIPS 2024Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors
- NeurIPS 2024Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation
- NeurIPS 2024SF-V: Single Forward Video Generation Model
- NeurIPS 2024Shared Autonomy with IDA: Interventional Diffusion Assistance
- NeurIPS 2024SHMT: Self-supervised Hierarchical Makeup Transfer via Latent Diffusion Models
- NeurIPS 2024ShowMaker: Creating High-Fidelity 2D Human Video via Fine-Grained Diffusion Modeling
- NeurIPS 2024SimGen: Simulator-conditioned Driving Scene Generation
- NeurIPS 2024Simple and Effective Masked Diffusion Language Models
- NeurIPS 2024Simple and Fast Distillation of Diffusion Models
- NeurIPS 2024Simplified and Generalized Masked Diffusion for Discrete Data
- NeurIPS 2024Simulation-Free Training of Neural ODEs on Paired Data
- NeurIPS 2024Slight Corruption in Pre-training Data Makes Better Diffusion Models
- NeurIPS 2024Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention
- NeurIPS 2024Solving Inverse Problems via Diffusion Optimal Control
- NeurIPS 2024SongCreator: Lyrics-based Universal Song Generation
- NeurIPS 2024Sparse High Rank Adapters
- NeurIPS 2024SSDiff: Spatial-spectral Integrated Diffusion Model for Remote Sensing Pansharpening
- NeurIPS 2024Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics
- NeurIPS 2024Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective
- NeurIPS 2024Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation
- NeurIPS 2024StepbaQ: Stepping backward as Correction for Quantized Diffusion Models
- NeurIPS 2024Stochastic Optimal Control for Diffusion Bridges in Function Spaces
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