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

每年论文数

各会议论文数

按年份和会议统计

驾驶仿真论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023219182218350969
20244101763583641,308
20255422282753601,405
20269403133635842,200

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

全部驾驶仿真论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 350 篇，第 7 / 7 页

  1. CVPR 2023Soft Augmentation for Image Classification
  2. CVPR 2023SparseFusion: Distilling View-Conditioned Diffusion for 3D Reconstruction
  3. CVPR 2023Spatial-Frequency Mutual Learning for Face Super-Resolution
  4. CVPR 2023Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising
  5. CVPR 2023Starting From Non-Parametric Networks for 3D Point Cloud Analysis
  6. CVPR 2023STDLens: Model Hijacking-Resilient Federated Learning for Object Detection
  7. CVPR 2023Structured 3D Features for Reconstructing Controllable Avatars
  8. CVPR 2023Structured Kernel Estimation for Photon-Limited Deconvolution
  9. CVPR 2023StyleIPSB: Identity-Preserving Semantic Basis of StyleGAN for High Fidelity Face Swapping
  10. CVPR 2023SVGformer: Representation Learning for Continuous Vector Graphics Using Transformers
  11. CVPR 2023Tangentially Elongated Gaussian Belief Propagation for Event-Based Incremental Optical Flow Estimation
  12. CVPR 2023Target-Referenced Reactive Grasping for Dynamic Objects
  13. CVPR 2023TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving
  14. CVPR 2023Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction
  15. CVPR 2023Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving
  16. CVPR 2023Temporal Interpolation Is All You Need for Dynamic Neural Radiance Fields
  17. CVPR 2023Texture-Guided Saliency Distilling for Unsupervised Salient Object Detection
  18. CVPR 2023The Enemy of My Enemy Is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training
  19. CVPR 2023Think Twice Before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving
  20. CVPR 2023Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning
  21. CVPR 2023TokenHPE: Learning Orientation Tokens for Efficient Head Pose Estimation via Transformers
  22. CVPR 2023Toward Accurate Post-Training Quantization for Image Super Resolution
  23. CVPR 2023Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment
  24. CVPR 2023Towards Effective Visual Representations for Partial-Label Learning
  25. CVPR 2023Towards Scalable Neural Representation for Diverse Videos
  26. CVPR 2023Train-Once-for-All Personalization
  27. CVPR 2023Trainable Projected Gradient Method for Robust Fine-Tuning
  28. CVPR 2023Transformer Scale Gate for Semantic Segmentation
  29. CVPR 2023Transforming Radiance Field With Lipschitz Network for Photorealistic 3D Scene Stylization
  30. CVPR 2023TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning With Structure-Trajectory Prompted Reconstruction for Person Re-Identification
  31. CVPR 2023Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction
  32. CVPR 2023UDE: A Unified Driving Engine for Human Motion Generation
  33. CVPR 2023Unbalanced Optimal Transport: A Unified Framework for Object Detection
  34. CVPR 2023Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection
  35. CVPR 2023UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View
  36. CVPR 2023UniSim: A Neural Closed-Loop Sensor Simulator
  37. CVPR 2023Unsupervised 3D Point Cloud Representation Learning by Triangle Constrained Contrast for Autonomous Driving
  38. CVPR 2023Vector Quantization With Self-Attention for Quality-Independent Representation Learning
  39. CVPR 2023VGFlow: Visibility Guided Flow Network for Human Reposing
  40. CVPR 2023ViPLO: Vision Transformer Based Pose-Conditioned Self-Loop Graph for Human-Object Interaction Detection
  41. CVPR 2023Virtual Sparse Convolution for Multimodal 3D Object Detection
  42. CVPR 2023Visibility Constrained Wide-Band Illumination Spectrum Design for Seeing-in-the-Dark
  43. CVPR 2023Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving
  44. CVPR 2023Visual-Tactile Sensing for In-Hand Object Reconstruction
  45. CVPR 2023vMAP: Vectorised Object Mapping for Neural Field SLAM
  46. CVPR 2023VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution
  47. CVPR 2023VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion
  48. CVPR 2023Weakly Supervised Class-Agnostic Motion Prediction for Autonomous Driving
  49. CVPR 2023Weakly Supervised Posture Mining for Fine-Grained Classification
  50. CVPR 2023X-Pruner: eXplainable Pruning for Vision Transformers

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"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

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