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 551 篇，第 11 / 12 页
- CVPR 2025Towards Precise Scaling Laws for Video Diffusion Transformers
- CVPR 2025Towards Transformer-Based Aligned Generation with Self-Coherence Guidance
- CVPR 2025Towards Universal AI-Generated Image Detection by Variational Information Bottleneck Network
- CVPR 2025Towards Universal Dataset Distillation via Task-Driven Diffusion
- CVPR 2025Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation
- CVPR 2025Training-free Dense-Aligned Diffusion Guidance for Modular Conditional Image Synthesis
- CVPR 2025Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene
- CVPR 2025Traversing Distortion-Perception Tradeoff using a Single Score-Based Generative Model
- CVPR 2025TriTex: Learning Texture from a Single Mesh via Triplane Semantic Features
- CVPR 2025TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-Resolution
- CVPR 2025TurboFill: Adapting Few-step Text-to-image Model for Fast Image Inpainting
- CVPR 2025U-Know-DiffPAN: An Uncertainty-aware Knowledge Distillation Diffusion Framework with Details Enhancement for PAN-Sharpening
- CVPR 2025UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models
- CVPR 2025Unboxed: Geometrically and Temporally Consistent Video Outpainting
- CVPR 2025Uncertainty-guided Perturbation for Image Super-Resolution Diffusion Model
- CVPR 2025Uni-Renderer: Unifying Rendering and Inverse Rendering Via Dual Stream Diffusion
- CVPR 2025UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation
- CVPR 2025Unified Dense Prediction of Video Diffusion
- CVPR 2025Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling
- CVPR 2025UniRestore: Unified Perceptual and Task-Oriented Image Restoration Model Using Diffusion Prior
- CVPR 2025Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation
- CVPR 2025Using Diffusion Priors for Video Amodal Segmentation
- CVPR 2025Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing
- CVPR 2025UVGS: Reimagining Unstructured 3D Gaussian Splatting using UV Mapping
- CVPR 2025V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection
- CVPR 2025VasTSD: Learning 3D Vascular Tree-state Space Diffusion Model for Angiography Synthesis
- CVPR 2025VerbDiff: Text-Only Diffusion Models with Enhanced Interaction Awareness
- CVPR 2025vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation
- CVPR 2025VidBot: Learning Generalizable 3D Actions from In-the-Wild 2D Human Videos for Zero-Shot Robotic Manipulation
- CVPR 2025Video Motion Transfer with Diffusion Transformers
- CVPR 2025VideoDirector: Precise Video Editing via Text-to-Video Models
- CVPR 2025VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
- CVPR 2025VideoGuide: Improving Video Diffusion Models without Training Through a Teacher's Guide
- CVPR 2025VideoMage: Multi-Subject and Motion Customization of Text-to-Video Diffusion Models
- CVPR 2025VideoScene: Distilling Video Diffusion Model to Generate 3D Scenes in One Step
- CVPR 2025VidSeg: Training-free Video Semantic Segmentation based on Diffusion Models
- CVPR 2025Visual Lexicon: Rich Image Features in Language Space
- CVPR 2025Visual Persona: Foundation Model for Full-Body Human Customization
- CVPR 2025Visual Prompting for One-shot Controllable Video Editing without Inversion
- CVPR 2025Visual-Instructed Degradation Diffusion for All-in-One Image Restoration
- CVPR 2025VLOGGER: Multimodal Diffusion for Embodied Avatar Synthesis
- CVPR 2025Volume Tells: Dual Cycle-Consistent Diffusion for 3D Fluorescence Microscopy De-noising and Super-Resolution
- CVPR 2025WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion
- CVPR 2025WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model
- CVPR 2025Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content
- CVPR 2025Wonderland: Navigating 3D Scenes from a Single Image
- CVPR 2025World-consistent Video Diffusion with Explicit 3D Modeling
- CVPR 2025Zero-1-to-A: Zero-Shot One Image to Animatable Head Avatars Using Video Diffusion
- CVPR 2025Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)
- CVPR 2025Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion
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