仿真到真实论文趋势 2023–2026

主要结论

• 仿真到真实论文从 2023 年的 159 篇增长到 2026 年的 204 篇，三年间扩大到约 1.3 倍。
• CVPR 是发仿真到真实论文最多的会议，2023–2026 年共 223 篇，占四个会议总量的 35%。
• 交叉方向里涨得最快的是多模态大模型：同时属于两个主题的论文从 2023 年的 2 篇增至 2026 年的 27 篇。
• 在「机器人与具身」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的人形控制是 3.8 倍，仿真到真实是 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 2026AET-Bench: Pixel-Accurate Atomic Tomography Is Not Atom-Accurate
• ICML 2026RTInfer: Real-Time Inference of Multiple DNNs on Edge GPUs
• ICLR 2026Manipulation as in Simulation: Enabling Accurate Geometry Perception in Robots
• CVPR 2026AnthroTAP Learning Point Tracking with Real-World Motion
• NeurIPS 2025Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-Index Models
• ICML 2025HyperIV: Real-time Implied Volatility Smoothing
• ICLR 2025Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark
• CVPR 2025Analyzing the Synthetic-to-Real Domain Gap in 3D Hand Pose Estimation
• NeurIPS 2024EgoSim: An Egocentric Multi-view Simulator and Real Dataset for Body-worn Cameras during Motion and Activity
• ICML 2024A Global Geometric Analysis of Maximal Coding Rate Reduction
• ICLR 2024Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World
• CVPR 2024Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds
• NeurIPS 2023[Re] Pure Noise to the Rescue of Insufficient Data
• ICML 2023Adversarially Robust PAC Learnability of Real-Valued Functions
• ICLR 2023Provable Sim-to-real Transfer in Continuous Domain with Partial Observations
• CVPR 2023Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-World
• NeurIPS 2026Coarse-to-Real: Generative Rendering for Populated Dynamic Scenes
• ICML 2026Server-Proximal Aggregation for Federated Domain-Incremental Learning under Partial Participation: Task-Uniform Convergence and Backward Transfer
• ICLR 2026PatchRefiner V2: Fast and Lightweight Real-Domain High-Resolution Metric Depth Estimation
• CVPR 2026BiProLoRA Bilevel Prompt LoRA for Real Scene Recovery

全部仿真到真实论文

共 18 篇，第 1 / 1 页

1. ICLR 2023Autoregressive Conditional Neural Processes
2. ICLR 2023CoRTX: Contrastive Framework for Real-time Explanation
3. ICLR 2023Decompose to Generalize: Species-Generalized Animal Pose Estimation
4. ICLR 2023EVC: Towards Real-Time Neural Image Compression with Mask Decay
5. ICLR 2023Fairness and Accuracy under Domain Generalization
6. ICLR 2023Forward Super-Resolution: How Can GANs Learn Hierarchical Generative Models for Real-World Distributions
7. ICLR 2023Generalize Learned Heuristics to Solve Large-scale Vehicle Routing Problems in Real-time
8. ICLR 2023ImaginaryNet: Learning Object Detectors without Real Images and Annotations
9. ICLR 2023Interpretations of Domain Adaptations via Layer Variational Analysis
10. ICLR 2023Moderate Coreset: A Universal Method of Data Selection for Real-world Data-efficient Deep Learning
11. ICLR 2023Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning
12. ICLR 2023Provable Sim-to-real Transfer in Continuous Domain with Partial Observations
13. ICLR 2023Real-Time Image Demoir$\acute{e}$ing on Mobile Devices
14. ICLR 2023Real-time variational method for learning neural trajectory and its dynamics
15. ICLR 2023Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning
16. ICLR 2023Spherical Sliced-Wasserstein
17. ICLR 2023Towards Robust Object Detection Invariant to Real-World Domain Shifts
18. ICLR 2023Transfer Learning with Deep Tabular Models

常见问题

2023–2026 年四大会议一共有多少篇仿真到真实论文？

共 629 篇，按年份分别是 2023 年 159 篇、2024 年 148 篇、2025 年 118 篇、2026 年 204 篇。

NeurIPS 2026 有多少篇仿真到真实论文？

NeurIPS 2026 有 75 篇仿真到真实论文，上一届是 33 篇。

ICLR 2026 有多少篇仿真到真实论文？

ICLR 2026 有 33 篇仿真到真实论文，上一届是 16 篇。

ICML 2026 有多少篇仿真到真实论文？

ICML 2026 有 33 篇仿真到真实论文，上一届是 18 篇。

CVPR 2026 有多少篇仿真到真实论文？

CVPR 2026 有 63 篇仿真到真实论文，上一届是 51 篇。

哪个会议的仿真到真实论文最多？

CVPR，2023–2026 年共 223 篇。