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 628 篇，第 11 / 13 页
- CVPR 2023Phone2Proc: Bringing Robust Robots Into Our Chaotic World
- CVPR 2023PIDNet: A Real-Time Semantic Segmentation Network Inspired by PID Controllers
- CVPR 2023PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation
- CVPR 2023Propagate and Calibrate: Real-Time Passive Non-Line-of-Sight Tracking
- CVPR 2023Real-Time 6K Image Rescaling With Rate-Distortion Optimization
- CVPR 2023Real-Time Evaluation in Online Continual Learning: A New Hope
- CVPR 2023Real-Time Neural Light Field on Mobile Devices
- CVPR 2023RealImpact: A Dataset of Impact Sound Fields for Real Objects
- CVPR 2023RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors
- CVPR 2023SCoDA: Domain Adaptive Shape Completion for Real Scans
- CVPR 2023Self-Supervised AutoFlow
- CVPR 2023Semi-Supervised Parametric Real-World Image Harmonization
- CVPR 2023sRGB Real Noise Synthesizing With Neighboring Correlation-Aware Noise Model
- CVPR 2023Symmetric Shape-Preserving Autoencoder for Unsupervised Real Scene Point Cloud Completion
- CVPR 2023The ObjectFolder Benchmark: Multisensory Learning With Neural and Real Objects
- CVPR 2023Tracking Multiple Deformable Objects in Egocentric Videos
- CVPR 2023Transfer Knowledge From Head to Tail: Uncertainty Calibration Under Long-Tailed Distribution
- CVPR 2023Transfer4D: A Framework for Frugal Motion Capture and Deformation Transfer
- CVPR 2023UV Volumes for Real-Time Rendering of Editable Free-View Human Performance
- CVPR 2023YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors
- CVPR 2023You Only Segment Once: Towards Real-Time Panoptic Segmentation
- ICLR 2023Autoregressive Conditional Neural Processes
- ICLR 2023CoRTX: Contrastive Framework for Real-time Explanation
- ICLR 2023Decompose to Generalize: Species-Generalized Animal Pose Estimation
- ICLR 2023EVC: Towards Real-Time Neural Image Compression with Mask Decay
- ICLR 2023Fairness and Accuracy under Domain Generalization
- ICLR 2023Forward Super-Resolution: How Can GANs Learn Hierarchical Generative Models for Real-World Distributions
- ICLR 2023Generalize Learned Heuristics to Solve Large-scale Vehicle Routing Problems in Real-time
- ICLR 2023ImaginaryNet: Learning Object Detectors without Real Images and Annotations
- ICLR 2023Interpretations of Domain Adaptations via Layer Variational Analysis
- ICLR 2023Moderate Coreset: A Universal Method of Data Selection for Real-world Data-efficient Deep Learning
- ICLR 2023Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning
- ICLR 2023Provable Sim-to-real Transfer in Continuous Domain with Partial Observations
- ICLR 2023Real-Time Image Demoir$\acute{e}$ing on Mobile Devices
- ICLR 2023Real-time variational method for learning neural trajectory and its dynamics
- ICLR 2023Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning
- ICLR 2023Spherical Sliced-Wasserstein
- ICLR 2023Towards Robust Object Detection Invariant to Real-World Domain Shifts
- ICLR 2023Transfer Learning with Deep Tabular Models
- ICML 2023"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts
- ICML 2023Adversarially Robust PAC Learnability of Real-Valued Functions
- ICML 2023Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions with Infinite Dimensional Input
- ICML 2023Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers
- ICML 2023Conformalization of Sparse Generalized Linear Models
- ICML 2023Constrained Monotonic Neural Networks
- ICML 2023Contextual Conservative Interleaving Bandits
- ICML 2023Coupled Variational Autoencoder
- ICML 2023Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution
- ICML 2023DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models
- ICML 2023Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima
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。