驾驶仿真论文趋势 2023–2026
闭环仿真
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 5,882 篇被归入该主题的论文。
主要结论
- 驾驶仿真论文从 2023 年的 969 篇增长到 2026 年的 2,200 篇，三年间扩大到约 2.3 倍。
- NeurIPS 是发驾驶仿真论文最多的会议，2023–2026 年共 2,111 篇，占四个会议总量的 36%。
- 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 27 篇增至 2026 年的 205 篇。
- 在「自动驾驶」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的运动规划是 2.4 倍，驾驶仿真是 2.3 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 219 | 182 | 218 | 350 | 969 |
| 2024 | 410 | 176 | 358 | 364 | 1,308 |
| 2025 | 542 | 228 | 275 | 360 | 1,405 |
| 2026 | 940 | 313 | 363 | 584 | 2,200 |
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 2026$SE(2)$-Aware Conditional Distribution Transport for Vehicle Trajectory Generation
- ICML 2026A Penalty Approach For Differentiation Through Black-box Quadratic Programming Solvers
- ICLR 2026A Schrödinger Eigenfunction Method for Long-Horizon Stochastic Optimal Control
- CVPR 2026A2GC Asymmetric Aggregation with Geometric Constraints for Locally Aggregated Descriptors
- NeurIPS 2025A compressive-expressive communication framework for compositional representations
- ICML 2025A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization
- ICLR 2025A Truncated Newton Method for Optimal Transport
- CVPR 20253D-SLNR: A Super Lightweight Neural Representation for Large-scale 3D Mapping
- NeurIPS 2024[Re] CUDA: Curriculum of Data Augmentation for Long‐tailed Recognition
- ICML 2024$H$-Consistency Guarantees for Regression
- ICLR 2024$\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation
- CVPR 2024Decentralized Directed Collaboration for Personalized Federated Learning
- NeurIPS 2023[Re] FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles
- ICML 2023$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates
- ICLR 2023A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
- CVPR 20233DAvatarGAN: Bridging Domains for Personalized Editable Avatars
- NeurIPS 2026A Bitter Lesson for Data Filtering
- ICML 2026A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints
- ICLR 2026Bayesian Neural Networks for Functional ANOVA Model
- CVPR 2026Active Perceptual Inference A Corticothalamic-Inspired Dynamic Nested Recurrent Network for
全部驾驶仿真论文
共 364 篇，第 6 / 8 页
- CVPR 2024Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models
- CVPR 2024PhyScene: Physically Interactable 3D Scene Synthesis for Embodied AI
- CVPR 2024Pick-or-Mix: Dynamic Channel Sampling for ConvNets
- CVPR 2024PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized Perception with Neural Sensors
- CVPR 2024PNeRV: Enhancing Spatial Consistency via Pyramidal Neural Representation for Videos
- CVPR 2024PointBeV: A Sparse Approach for BeV Predictions
- CVPR 2024Poly Kernel Inception Network for Remote Sensing Detection
- CVPR 2024PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization
- CVPR 2024Pose Adapted Shape Learning for Large-Pose Face Reenactment
- CVPR 2024Pose-Transformed Equivariant Network for 3D Point Trajectory Prediction
- CVPR 2024PostureHMR: Posture Transformation for 3D Human Mesh Recovery
- CVPR 2024PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation
- CVPR 2024PTQ4SAM: Post-Training Quantization for Segment Anything
- CVPR 2024QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction
- CVPR 2024RCBEVDet: Radar-camera Fusion in Bird's Eye View for 3D Object Detection
- CVPR 2024RCL: Reliable Continual Learning for Unified Failure Detection
- CVPR 2024RecDiffusion: Rectangling for Image Stitching with Diffusion Models
- CVPR 2024Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector
- CVPR 2024Regressor-Segmenter Mutual Prompt Learning for Crowd Counting
- CVPR 2024Relaxed Contrastive Learning for Federated Learning
- CVPR 2024Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
- CVPR 2024Resource-Efficient Transformer Pruning for Finetuning of Large Models
- CVPR 2024Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning
- CVPR 2024Rethinking Boundary Discontinuity Problem for Oriented Object Detection
- CVPR 2024Rethinking Inductive Biases for Surface Normal Estimation
- CVPR 2024Revisiting Sampson Approximations for Geometric Estimation Problems
- CVPR 2024Riemannian Multinomial Logistics Regression for SPD Neural Networks
- CVPR 2024S-DyRF: Reference-Based Stylized Radiance Fields for Dynamic Scenes
- CVPR 2024SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object Detection
- CVPR 2024SANeRF-HQ: Segment Anything for NeRF in High Quality
- CVPR 2024SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes
- CVPR 2024Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering
- CVPR 2024Scaling Laws for Data Filtering-- Data Curation cannot be Compute Agnostic
- CVPR 2024SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation
- CVPR 2024Scene Adaptive Sparse Transformer for Event-based Object Detection
- CVPR 2024SD4Match: Learning to Prompt Stable Diffusion Model for Semantic Matching
- CVPR 2024SEAS: ShapE-Aligned Supervision for Person Re-Identification
- CVPR 2024SecondPose: SE(3)-Consistent Dual-Stream Feature Fusion for Category-Level Pose Estimation
- CVPR 2024Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model
- CVPR 2024Selective-Stereo: Adaptive Frequency Information Selection for Stereo Matching
- CVPR 2024Self-Calibrating Vicinal Risk Minimisation for Model Calibration
- CVPR 2024Semantic-aware SAM for Point-Prompted Instance Segmentation
- CVPR 2024SG-BEV: Satellite-Guided BEV Fusion for Cross-View Semantic Segmentation
- CVPR 2024Shallow-Deep Collaborative Learning for Unsupervised Visible-Infrared Person Re-Identification
- CVPR 2024SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection
- CVPR 2024Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning
- CVPR 2024Sparse Views Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo
- CVPR 2024Spatial-Aware Regression for Keypoint Localization
- CVPR 2024SPECAT: SPatial-spEctral Cumulative-Attention Transformer for High-Resolution Hyperspectral Image Reconstruction
- CVPR 2024SpecNeRF: Gaussian Directional Encoding for Specular Reflections
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 查驾驶仿真在 NeurIPS 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": "simulation-for-driving"}
常见问题
- 2023–2026 年四大会议一共有多少篇驾驶仿真论文？
- 共 5,882 篇，按年份分别是 2023 年 969 篇、2024 年 1,308 篇、2025 年 1,405 篇、2026 年 2,200 篇。
- NeurIPS 2026 有多少篇驾驶仿真论文？
- NeurIPS 2026 有 940 篇驾驶仿真论文，上一届是 542 篇。
- ICLR 2026 有多少篇驾驶仿真论文？
- ICLR 2026 有 313 篇驾驶仿真论文，上一届是 228 篇。
- ICML 2026 有多少篇驾驶仿真论文？
- ICML 2026 有 363 篇驾驶仿真论文，上一届是 275 篇。
- CVPR 2026 有多少篇驾驶仿真论文？
- CVPR 2026 有 584 篇驾驶仿真论文，上一届是 360 篇。
- 哪个会议的驾驶仿真论文最多？
- NeurIPS，2023–2026 年共 2,111 篇。