合成数据生成论文趋势 2023–2026

主要结论

• 合成数据生成论文从 2023 年的 72 篇增长到 2026 年的 96 篇，三年间扩大到约 1.3 倍。
• NeurIPS 是发合成数据生成论文最多的会议，2023–2026 年共 114 篇，占四个会议总量的 41%。
• 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 6 篇增至 2026 年的 20 篇。
• 在「以数据为中心 AI」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的弱监督是 1.3 倍，合成数据生成是 1.3 倍。

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 2026Breaking the Quality–Privacy Tradeoff in Tabular Data Generation via In-Context Learning
• ICML 2026Active Tabular Augmentation via Policy-Guided Diffusion Inpainting
• ICLR 2026Critic–Adviser–Reviser Cyclic Refinement: Towards High-Quality EMR Corpus Generation with LLMs
• CVPR 2026Beyond Objects Contextual Synthetic Data Generation for Fine-Grained Classification
• NeurIPS 2025Achilles' Heel of Mamba: Essential difficulties of the Mamba architecture demonstrated by synthetic data
• ICML 2025Synthetic Text Generation for Training Large Language Models via Gradient Matching
• ICLR 2025Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation
• CVPR 2025Synthetic Visual Genome
• NeurIPS 2024DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release
• ICML 2024CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process
• ICLR 2024A Linear Algebraic Framework for Counterfactual Generation
• CVPR 2024Learning from Synthetic Human Group Activities
• NeurIPS 2023[Re] $\mathcal{G}$-Mixup: Graph Data Augmentation for Graph Classification
• ICML 2023Data Feedback Loops: Model-driven Amplification of Dataset Biases
• ICLR 2023Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation
• CVPR 2023Fake It Till You Make It: Learning Transferable Representations From Synthetic ImageNet Clones
• NeurIPS 2026Learning with Synthetic Data via SGD in High-Dimensional Linear Regression
• ICML 2026Counterfactual Residual Data Augmentation for Regression
• ICLR 2026Making, Not Taking, the Best of N
• CVPR 2026Order Matters 3D Shape Generation from Sequential VR Sketches

全部合成数据生成论文

共 25 篇，第 1 / 1 页

1. CVPR 2026AHS Adaptive Head Synthesis via Synthetic Data Augmentations
2. CVPR 2026Avatar Forcing Real-Time Interactive Head Avatar Generation for Natural Conversation
3. CVPR 2026BarbieGait An Identity-Consistent Synthetic Human Dataset with Versatile Cloth-Changing for
4. CVPR 2026Beyond Objects Contextual Synthetic Data Generation for Fine-Grained Classification
5. CVPR 2026ChimeraLoRA Multi-Head LoRA-Guided Synthetic Datasets
6. CVPR 2026ClimaOoD Improving Anomaly Segmentation via Physically Realistic Synthetic Data
7. CVPR 2026IDperturb Enhancing Variation in Synthetic Face Generation via Angular Perturbations
8. CVPR 2026Improving Adversarial Transferability with Local Perturbation Augmentation
9. CVPR 2026InternData-A1 Pioneering High-Fidelity Synthetic Data for Pre-training Generalist Policy
10. CVPR 2026Learning from Synthetic Data via Provenance-Based Input Gradient Guidance
11. CVPR 2026Learning to Generate Highly Dynamic Videos using Synthetic Motion Data
12. CVPR 2026Learning Transferable Temporal Primitives for Video Reasoning via Synthetic Videos
13. CVPR 2026Order Matters 3D Shape Generation from Sequential VR Sketches
14. CVPR 2026Pano3DComposer Feed-Forward Compositional 3D Scene Generation from Single Panoramic Image
15. CVPR 2026Realiz3D 3D Generation Made Photorealistic via Domain-Aware Learning
16. CVPR 2026Reinforcement-Guided Synthetic Data Generation for Privacy-Sensitive Identity Recognition
17. CVPR 2026Role-SynthCLIP A Role-Play Driven Diverse Synthetic Data Approach
18. CVPR 2026Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset
19. CVPR 2026SeeThrough3D Occlusion Aware 3D Control in Text-to-Image Generation
20. CVPR 2026SLVMEval Synthetic Meta Evaluation Benchmark for Text-to-Long Video Generation
21. CVPR 2026Synthetic Curriculum Reinforces Compositional Text-to-Image Generation
22. CVPR 2026TokenLight Precise Lighting Control in Images using Attribute Tokens
23. CVPR 2026Vanast Virtual Try-On with Human Image Animation via Synthetic Triplet
24. CVPR 2026Video2Robo 3DGS-based Synthetic Data from One Video Enables Scalable Robot
25. CVPR 2026What Makes Good Synthetic Training Data for Zero-Shot Stereo Matching

常见问题

2023–2026 年四大会议一共有多少篇合成数据生成论文？

共 277 篇，按年份分别是 2023 年 72 篇、2024 年 41 篇、2025 年 68 篇、2026 年 96 篇。

NeurIPS 2026 有多少篇合成数据生成论文？

NeurIPS 2026 有 24 篇合成数据生成论文，上一届是 27 篇。

ICLR 2026 有多少篇合成数据生成论文？

ICLR 2026 有 26 篇合成数据生成论文，上一届是 18 篇。

ICML 2026 有多少篇合成数据生成论文？

ICML 2026 有 21 篇合成数据生成论文，上一届是 9 篇。

CVPR 2026 有多少篇合成数据生成论文？

CVPR 2026 有 25 篇合成数据生成论文，上一届是 14 篇。

哪个会议的合成数据生成论文最多？

NeurIPS，2023–2026 年共 114 篇。