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 1,792 篇，第 15 / 36 页
- CVPR 2025DeClotH: Decomposable 3D Cloth and Human Body Reconstruction from a Single Image
- CVPR 2025Decompositional Neural Scene Reconstruction with Generative Diffusion Prior
- CVPR 2025Decouple Distortion from Perception: Region Adaptive Diffusion for Extreme-low Bitrate Perception Image Compression
- CVPR 2025Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning
- CVPR 2025Decoupling Training-Free Guided Diffusion by ADMM
- CVPR 2025DefectFill: Realistic Defect Generation with Inpainting Diffusion Model for Visual Inspection
- CVPR 2025Denoising Functional Maps: Diffusion Models for Shape Correspondence
- CVPR 2025DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos
- CVPR 2025Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI
- CVPR 2025DesignDiffusion: High-Quality Text-to-Design Image Generation with Diffusion Models
- CVPR 2025Detail-Preserving Latent Diffusion for Stable Shadow Removal
- CVPR 2025Detect-and-Guide: Self-regulation of Diffusion Models for Safe Text-to-Image Generation via Guideline Token Optimization
- CVPR 2025Devil is in the Detail: Towards Injecting Fine Details of Image Prompt in Image Generation via Conflict-free Guidance and Stratified Attention
- CVPR 2025DexHandDiff: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation
- CVPR 2025DI-PCG: Diffusion-based Efficient Inverse Procedural Content Generation for High-quality 3D Asset Creation
- CVPR 2025DiC: Rethinking Conv3x3 Designs in Diffusion Models
- CVPR 2025Diff-Palm: Realistic Palmprint Generation with Polynomial Creases and Intra-Class Variation Controllable Diffusion Models
- CVPR 2025Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment
- CVPR 2025Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation
- CVPR 2025DiffFNO: Diffusion Fourier Neural Operator
- CVPR 2025DiffLocks: Generating 3D Hair from a Single Image using Diffusion Models
- CVPR 2025DiffPortrait360: Consistent Portrait Diffusion for 360 View Synthesis
- CVPR 2025DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
- CVPR 2025Diffusion Bridge: Leveraging Diffusion Model to Reduce the Modality Gap Between Text and Vision for Zero-Shot Image Captioning
- CVPR 2025Diffusion Model is Effectively Its Own Teacher
- CVPR 2025Diffusion Renderer: Neural Inverse and Forward Rendering with Video Diffusion Models
- CVPR 2025Diffusion Self-Distillation for Zero-Shot Customized Image Generation
- CVPR 2025Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models
- CVPR 2025Diffusion-based Event Generation for High-Quality Image Deblurring
- CVPR 2025Diffusion-based Realistic Listening Head Generation via Hybrid Motion Modeling
- CVPR 2025DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
- CVPR 2025DiffusionSfM: Predicting Structure and Motion via Ray Origin and Endpoint Diffusion
- CVPR 2025DiffVsgg: Diffusion-Driven Online Video Scene Graph Generation
- CVPR 2025DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution
- CVPR 2025DIFIX3D+: Improving 3D Reconstructions with Single-Step Diffusion Models
- CVPR 2025DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention
- CVPR 2025DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels
- CVPR 2025Directional Label Diffusion Model for Learning from Noisy Labels
- CVPR 2025Disco4D: Disentangled 4D Human Generation and Animation from a Single Image
- CVPR 2025Discrete to Continuous: Generating Smooth Transition Poses from Sign Language Observations
- CVPR 2025Disentangled Pose and Appearance Guidance for Multi-Pose Generation
- CVPR 2025DiSRT-In-Bed: Diffusion-Based Sim-to-Real Transfer Framework for In-Bed Human Mesh Recovery
- CVPR 2025Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability
- CVPR 2025Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection
- CVPR 2025DiTCtrl: Exploring Attention Control in Multi-Modal Diffusion Transformer for Tuning-Free Multi-Prompt Longer Video Generation
- CVPR 2025Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification
- CVPR 2025Divot: Diffusion Powers Video Tokenizer for Comprehension and Generation
- CVPR 2025DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
- CVPR 2025DNF: Unconditional 4D Generation with Dictionary-based Neural Fields
- CVPR 2025Do Visual Imaginations Improve Vision-and-Language Navigation Agents?
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