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 607 篇，第 12 / 13 页
- CVPR 2026Training-free Mixed-Resolution Latent Upsampling for Spatially Accelerated Diffusion Transformers
- CVPR 2026Training-free Motion Factorization for Compositional Video Generation
- CVPR 2026Training-free Perceptually Consistent Low-Resolution Previews with High-Resolution Image for Efficient
- CVPR 2026Transition Matching Distillation for Fast Video Generation
- CVPR 2026Transition Models Rethinking the Generative Learning Objective
- CVPR 2026TUDSR Twice Upsampling-Diffusion for Higher Super-Resolution
- CVPR 2026TV2TV A Unified Framework for Interleaved Language and Video Generation
- CVPR 2026Ultra Diffusion Poser Diffusion-Based Human Motion Tracking from Sparse Inertial
- CVPR 2026Uni-DAD Unified Distillation and Adaptation of Diffusion Models for Few-step
- CVPR 2026UniDef Universal Defense Against Unauthorized Image Manipulation
- CVPR 2026UniEdit-I Training-free Image Editing for Unified VLM via Iterative Understanding
- CVPR 2026Unified Latent Space for Understanding and Generation via Semantic Auto-encoder
- CVPR 2026Unified Number-Free Text-to-Motion Generation Via Flow Matching
- CVPR 2026Unifying Precise Keyframes and Semantic Control via Multi-level Diffusion
- CVPR 2026UniLDiff Unlocking the Power of Diffusion Priors for All-in-One Image
- CVPR 2026UniPercept A Unified Diffusion Model for Generalizable Visual Perception
- CVPR 2026UniPixie Unified and Probabilistic 3D Physics Learning via Flow Matching
- CVPR 2026Universal 3D Shape Matching via Coarse-to-Fine Language Guidance
- CVPR 2026Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors
- CVPR 2026Unsupervised Multi-Scale Segmentation of 3D Subcellular World with Stable Diffusion
- CVPR 2026UPLiFT Efficient Pixel-Dense Feature Upsampling with Local Attenders
- CVPR 2026VDE Training-Free Accelerating Rectified Flow Model via Velocity Decomposition and
- CVPR 2026VerseCrafter Dynamic Realistic Video World Model with 4D Geometric Control
- CVPR 2026VibeToken Scaling 1D Image Tokenizers and Autoregressive Models for Dynamic
- CVPR 2026Video-as-Answer Predict and Generate Next Video Event with Joint-GRPO
- CVPR 2026VideoCoF Unified Video Editing with Temporal Reasoner
- CVPR 2026VideoMaMa Mask-Guided Video Matting via Generative Prior
- CVPR 2026VideoWorld 2 Learning Transferable Knowledge from Real-world Videos
- CVPR 2026ViHOI Human-Object Interaction Synthesis with Visual Priors
- CVPR 2026ViLearn Accelerating Training Convergence of Image-to-3D Generation via Visibility Learning
- CVPR 2026Vision Foundation Models Can Be Good Tokenizers for Latent Diffusion
- CVPR 2026Visual Diffusion Models are Geometric Solvers
- CVPR 2026Visual Prototype Conditioned Focal Region Generation for UAV-Based Object Detection
- CVPR 2026VLIC Vision-Language Models As Perceptual Judges for Human-Aligned Image Compression
- CVPR 2026VMonarch Efficient Video Diffusion Transformers with Structured Attention
- CVPR 2026VOSR A Vision-Only Generative Model for Image Super-Resolution
- CVPR 2026WaDi Weight Direction-aware Distillation for One-step Image Synthesis
- CVPR 2026WAM-Flow Parallel Coarse-to-Fine Motion Planning via Discrete Flow Matching for
- CVPR 2026WaTeRFlow Watermark Temporal Robustness via Flow Consistency
- CVPR 2026Weight Space Representation Learning via Neural Field Adaptation
- CVPR 2026WeMMU Enhanced Bridging of Vision-Language Models and Diffusion Models via
- CVPR 2026What Is the Optimal Ranking Score Between Precision and Recall
- CVPR 2026What Your Features Reveal Data-Efficient Black-Box Feature Inversion Attack for
- CVPR 2026When Lines Meet Textures Spatial-Frequency Aligned Diffusion Features for Cross-Sparsity
- CVPR 2026When Local Rules Create Global Order Self-Organized Representation Learning for
- CVPR 2026When LoRA Betrays Backdooring Text-to-Image Models by Masquerading as Benign
- CVPR 2026When Numbers Speak Aligning Textual Numerals and Visual Instances in
- CVPR 2026When Pretty Isnt Useful Investigating Why Modern Text-to-Image Models Fail
- CVPR 2026When Safety Collides Resolving Multi-Category Harmful Conflicts in Text-to-Image Diffusion
- CVPR 2026When Understanding Becomes a Risk Authenticity and Safety Risks in
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