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 496 篇，第 8 / 10 页
- CVPR 2024Prompt Augmentation for Self-supervised Text-guided Image Manipulation
- CVPR 2024Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models
- CVPR 2024PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought
- CVPR 2024Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models
- CVPR 2024R-Cyclic Diffuser: Reductive and Cyclic Latent Diffusion for 3D Clothed Human Digitalization
- CVPR 2024Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following
- CVPR 2024Rapid 3D Model Generation with Intuitive 3D Input
- CVPR 2024RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models
- CVPR 2024READ: Retrieval-Enhanced Asymmetric Diffusion for Motion Planning
- CVPR 2024Readout Guidance: Learning Control from Diffusion Features
- CVPR 2024RecDiffusion: Rectangling for Image Stitching with Diffusion Models
- CVPR 2024Referring Image Editing: Object-level Image Editing via Referring Expressions
- CVPR 2024Relation Rectification in Diffusion Model
- CVPR 2024Relightful Harmonization: Lighting-aware Portrait Background Replacement
- CVPR 2024Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
- CVPR 2024Residual Denoising Diffusion Models
- CVPR 2024Residual Learning in Diffusion Models
- CVPR 2024Restoration by Generation with Constrained Priors
- CVPR 2024Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution
- CVPR 2024Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance
- CVPR 2024Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis
- CVPR 2024RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D
- CVPR 2024RoHM: Robust Human Motion Reconstruction via Diffusion
- CVPR 2024Rolling Shutter Correction with Intermediate Distortion Flow Estimation
- CVPR 2024RoMa: Robust Dense Feature Matching
- CVPR 2024Sat2Scene: 3D Urban Scene Generation from Satellite Images with Diffusion
- CVPR 2024SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation
- CVPR 2024Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion
- CVPR 2024SCEdit: Efficient and Controllable Image Diffusion Generation via Skip Connection Editing
- CVPR 2024SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors
- CVPR 2024Score-Guided Diffusion for 3D Human Recovery
- CVPR 2024Sculpt3D: Multi-View Consistent Text-to-3D Generation with Sparse 3D Prior
- CVPR 2024SD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion Transformer
- CVPR 2024SD4Match: Learning to Prompt Stable Diffusion Model for Semantic Matching
- CVPR 2024SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
- CVPR 2024SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
- CVPR 2024Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model
- CVPR 2024Self-Adaptive Reality-Guided Diffusion for Artifact-Free Super-Resolution
- CVPR 2024Self-correcting LLM-controlled Diffusion Models
- CVPR 2024Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation
- CVPR 2024Semantic Human Mesh Reconstruction with Textures
- CVPR 2024SemCity: Semantic Scene Generation with Triplane Diffusion
- CVPR 2024Shadow Generation for Composite Image Using Diffusion Model
- CVPR 2024SIGNeRF: Scene Integrated Generation for Neural Radiance Fields
- CVPR 2024SimAC: A Simple Anti-Customization Method for Protecting Face Privacy against Text-to-Image Synthesis of Diffusion Models
- CVPR 2024Single Mesh Diffusion Models with Field Latents for Texture Generation
- CVPR 2024SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model
- CVPR 2024SinSR: Diffusion-Based Image Super-Resolution in a Single Step
- CVPR 2024SiTH: Single-view Textured Human Reconstruction with Image-Conditioned Diffusion
- CVPR 2024SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution
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