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 6,899 篇，第 63 / 138 页
- CVPR 2025ROICtrl: Boosting Instance Control for Visual Generation
- CVPR 2025RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene Texturing
- CVPR 2025RORem: Training a Robust Object Remover with Human-in-the-Loop
- CVPR 2025S^3-Face: SSS-Compliant Facial Reflectance Estimation via Diffusion Priors
- CVPR 2025SALAD: Skeleton-aware Latent Diffusion for Text-driven Motion Generation and Editing
- CVPR 2025Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution
- CVPR 2025Satellite to GroundScape - Large-scale Consistent Ground View Generation from Satellite Views
- CVPR 2025Scaling Down Text Encoders of Text-to-Image Diffusion Models
- CVPR 2025Scaling Inference Time Compute for Diffusion Models
- CVPR 2025Scaling Properties of Diffusion Models For Perceptual Tasks
- CVPR 2025Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments
- CVPR 2025Scene Splatter: Momentum 3D Scene Generation from Single Image with Video Diffusion Model
- CVPR 2025Scene4U: Hierarchical Layered 3D Scene Reconstruction from Single Panoramic Image for Your Immerse Exploration
- CVPR 2025SceneCrafter: Controllable Multi-View Driving Scene Editing
- CVPR 2025Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation
- CVPR 2025ScribbleLight: Single Image Indoor Relighting with Scribbles
- CVPR 2025SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation
- CVPR 2025Secret Lies in Color: Enhancing AI-Generated Images Detection with Color Distribution Analysis
- CVPR 2025See Further When Clear: Curriculum Consistency Model
- CVPR 2025SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration
- CVPR 2025Segment Any-Quality Images with Generative Latent Space Enhancement
- CVPR 2025Self-Cross Diffusion Guidance for Text-to-Image Synthesis of Similar Subjects
- CVPR 2025Self-Learning Hyperspectral and Multispectral Image Fusion via Adaptive Residual Guided Subspace Diffusion Model
- CVPR 2025Self-supervised ControlNet with Spatio-Temporal Mamba for Real-world Video Super-resolution
- CVPR 2025SemanticDraw: Towards Real-Time Interactive Content Creation from Image Diffusion Models
- CVPR 2025Shadow Generation Using Diffusion Model with Geometry Prior
- CVPR 2025ShapeShifter: 3D Variations Using Multiscale and Sparse Point-Voxel Diffusion
- CVPR 2025Sharp-It: A Multi-view to Multi-view Diffusion Model for 3D Synthesis and Manipulation
- CVPR 2025SharpDepth: Sharpening Metric Depth Predictions Using Diffusion Distillation
- CVPR 2025Shift the Lens: Environment-Aware Unsupervised Camouflaged Object Detection
- CVPR 2025Shining Yourself: High-Fidelity Ornaments Virtual Try-on with Diffusion Model
- CVPR 2025ShotAdapter: Text-to-Multi-Shot Video Generation with Diffusion Models
- CVPR 2025ShowHowTo: Generating Scene-Conditioned Step-by-Step Visual Instructions
- CVPR 2025Silence is Golden: Leveraging Adversarial Examples to Nullify Audio Control in LDM-based Talking-Head Generation
- CVPR 2025Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models
- CVPR 2025SimAvatar: Simulation-Ready Avatars with Layered Hair and Clothing
- CVPR 2025Simpler Diffusion: 1.5 FID on ImageNet512 with Pixel-space Diffusion
- CVPR 2025SIR-DIFF: Sparse Image Sets Restoration with Multi-View Diffusion Model
- CVPR 2025Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models
- CVPR 2025SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models
- CVPR 2025SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device
- CVPR 2025SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training
- CVPR 2025SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images
- CVPR 2025Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation
- CVPR 2025SpatialDreamer: Self-supervised Stereo Video Synthesis from Monocular Input
- CVPR 2025Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling
- CVPR 2025Spherical Manifold Guided Diffusion Model for Panoramic Image Generation
- CVPR 2025Stable Flow: Vital Layers for Training-Free Image Editing
- CVPR 2025Stable-SCore: A Stable Registration-based Framework for 3D Shape Correspondence
- CVPR 2025StableAnimator: High-Quality Identity-Preserving Human Image Animation
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