仿真到真实论文趋势 2023–2026
迁移与域随机化
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 629 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 57 | 18 | 32 | 52 | 159 |
| 2024 | 34 | 20 | 37 | 57 | 148 |
| 2025 | 33 | 16 | 18 | 51 | 118 |
| 2026 | 75 | 33 | 33 | 63 | 204 |
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 120 篇，第 3 / 3 页
- ICML 2023Federated Heavy Hitter Recovery under Linear Sketching
- ICML 2023Formalizing Preferences Over Runtime Distributions
- ICML 2023From Perception to Programs: Regularize, Overparameterize, and Amortize
- ICML 2023From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks
- ICML 2023Identifiability of Label Noise Transition Matrix
- ICML 2023Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows
- ICML 2023Multi-Environment Pretraining Enables Transfer to Action Limited Datasets
- ICML 2023Multiplier Bootstrap-based Exploration
- ICML 2023Never mind the metrics---what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective
- ICML 2023On the Robustness of Randomized Ensembles to Adversarial Perturbations
- ICML 2023One-sided Matrix Completion from Two Observations Per Row
- ICML 2023Out-of-Domain Robustness via Targeted Augmentations
- ICML 2023Regret Minimization and Convergence to Equilibria in General-sum Markov Games
- ICML 2023Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization
- ICML 2023Robust Budget Pacing with a Single Sample
- ICML 2023Safe Offline Reinforcement Learning with Real-Time Budget Constraints
- ICML 2023Settling the Reward Hypothesis
- ICML 2023Stable Estimation of Heterogeneous Treatment Effects
- ICML 2023Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data
- ICML 2023Vector-Valued Control Variates
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 查仿真到真实在 CVPR 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": "sim-to-real"}
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。