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 32 篇，第 1 / 1 页

1. ICML 2023"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts
2. ICML 2023Adversarially Robust PAC Learnability of Real-Valued Functions
3. ICML 2023Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions with Infinite Dimensional Input
4. ICML 2023Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers
5. ICML 2023Conformalization of Sparse Generalized Linear Models
6. ICML 2023Constrained Monotonic Neural Networks
7. ICML 2023Contextual Conservative Interleaving Bandits
8. ICML 2023Coupled Variational Autoencoder
9. ICML 2023Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution
10. ICML 2023DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models
11. ICML 2023Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima
12. ICML 2023Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions
13. ICML 2023Federated Heavy Hitter Recovery under Linear Sketching
14. ICML 2023Formalizing Preferences Over Runtime Distributions
15. ICML 2023From Perception to Programs: Regularize, Overparameterize, and Amortize
16. ICML 2023From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks
17. ICML 2023Identifiability of Label Noise Transition Matrix
18. ICML 2023Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows
19. ICML 2023Multi-Environment Pretraining Enables Transfer to Action Limited Datasets
20. ICML 2023Multiplier Bootstrap-based Exploration
21. ICML 2023Never mind the metrics---what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective
22. ICML 2023On the Robustness of Randomized Ensembles to Adversarial Perturbations
23. ICML 2023One-sided Matrix Completion from Two Observations Per Row
24. ICML 2023Out-of-Domain Robustness via Targeted Augmentations
25. ICML 2023Regret Minimization and Convergence to Equilibria in General-sum Markov Games
26. ICML 2023Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization
27. ICML 2023Robust Budget Pacing with a Single Sample
28. ICML 2023Safe Offline Reinforcement Learning with Real-Time Budget Constraints
29. ICML 2023Settling the Reward Hypothesis
30. ICML 2023Stable Estimation of Heterogeneous Treatment Effects
31. ICML 2023Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data
32. ICML 2023Vector-Valued Control Variates

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。