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 159 篇，第 3 / 4 页

101. ICML 2023Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data
102. ICML 2023Vector-Valued Control Variates
103. NeurIPS 2023[Re] Pure Noise to the Rescue of Insufficient Data
104. NeurIPS 2023A Metadata-Driven Approach to Understand Graph Neural Networks
105. NeurIPS 2023A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment
106. NeurIPS 2023A Privacy-Friendly Approach to Data Valuation
107. NeurIPS 2023A Randomized Approach to Tight Privacy Accounting
108. NeurIPS 2023A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
109. NeurIPS 2023An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient
110. NeurIPS 2023Attentive Transfer Entropy to Exploit Transient Emergence of Coupling Effect
111. NeurIPS 2023Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs
112. NeurIPS 2023Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness
113. NeurIPS 2023Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception
114. NeurIPS 2023CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation
115. NeurIPS 2023Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent
116. NeurIPS 2023DeWave: Discrete Encoding of EEG Waves for EEG to Text Translation
117. NeurIPS 2023Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching
118. NeurIPS 2023Does progress on ImageNet transfer to real-world datasets?
119. NeurIPS 2023EgoEnv: Human-centric environment representations from egocentric video
120. NeurIPS 2023Eliminating Domain Bias for Federated Learning in Representation Space
121. NeurIPS 2023Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics
122. NeurIPS 2023Exploiting hidden structures in non-convex games for convergence to Nash equilibrium
123. NeurIPS 2023First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities
124. NeurIPS 2023Frequency-domain MLPs are More Effective Learners in Time Series Forecasting
125. NeurIPS 2023High Precision Causal Model Evaluation with Conditional Randomization
126. NeurIPS 2023How to Data in Datathons
127. NeurIPS 2023Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding
128. NeurIPS 2023Learning to Augment Distributions for Out-of-distribution Detection
129. NeurIPS 2023Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression
130. NeurIPS 2023Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT
131. NeurIPS 2023Minimax-Optimal Location Estimation
132. NeurIPS 2023MixFormerV2: Efficient Fully Transformer Tracking
133. NeurIPS 2023MomentDiff: Generative Video Moment Retrieval from Random to Real
134. NeurIPS 2023On student-teacher deviations in distillation: does it pay to disobey?
135. NeurIPS 2023On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms
136. NeurIPS 2023OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects
137. NeurIPS 2023Optimal approximation using complex-valued neural networks
138. NeurIPS 2023Optimization or Architecture: How to Hack Kalman Filtering
139. NeurIPS 2023PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile
140. NeurIPS 2023Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding
141. NeurIPS 2023Real-World Image Super-Resolution as Multi-Task Learning
142. NeurIPS 2023RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing
143. NeurIPS 2023Robust Lipschitz Bandits to Adversarial Corruptions
144. NeurIPS 2023Saddle-to-Saddle Dynamics in Diagonal Linear Networks
145. NeurIPS 2023Sharpness Minimization Algorithms Do Not Only Minimize Sharpness To Achieve Better Generalization
146. NeurIPS 2023Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features
147. NeurIPS 2023Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees
148. NeurIPS 2023Subspace Identification for Multi-Source Domain Adaptation
149. NeurIPS 2023Synthetic-to-Real Pose Estimation with Geometric Reconstruction
150. NeurIPS 2023The s-value: evaluating stability with respect to distributional shifts

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。