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 969 篇，第 6 / 20 页

  1. CVPR 2023Phone2Proc: Bringing Robust Robots Into Our Chaotic World
  2. CVPR 2023Photo Pre-Training, but for Sketch
  3. CVPR 2023Pix2map: Cross-Modal Retrieval for Inferring Street Maps From Images
  4. CVPR 2023Planning-Oriented Autonomous Driving
  5. CVPR 2023PLIKS: A Pseudo-Linear Inverse Kinematic Solver for 3D Human Body Estimation
  6. CVPR 2023PMR: Prototypical Modal Rebalance for Multimodal Learning
  7. CVPR 2023Poly-PC: A Polyhedral Network for Multiple Point Cloud Tasks at Once
  8. CVPR 2023Polynomial Implicit Neural Representations for Large Diverse Datasets
  9. CVPR 2023Power Bundle Adjustment for Large-Scale 3D Reconstruction
  10. CVPR 2023Probability-Based Global Cross-Modal Upsampling for Pansharpening
  11. CVPR 2023Progressive Disentangled Representation Learning for Fine-Grained Controllable Talking Head Synthesis
  12. CVPR 2023Progressive Neighbor Consistency Mining for Correspondence Pruning
  13. CVPR 2023Progressive Open Space Expansion for Open-Set Model Attribution
  14. CVPR 2023Progressive Transformation Learning for Leveraging Virtual Images in Training
  15. CVPR 2023Progressively Optimized Local Radiance Fields for Robust View Synthesis
  16. CVPR 2023PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery
  17. CVPR 2023Prompting Large Language Models With Answer Heuristics for Knowledge-Based Visual Question Answering
  18. CVPR 2023Proximal Splitting Adversarial Attack for Semantic Segmentation
  19. CVPR 2023Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge
  20. CVPR 2023Quantum-Inspired Spectral-Spatial Pyramid Network for Hyperspectral Image Classification
  21. CVPR 2023RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving
  22. CVPR 2023Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
  23. CVPR 2023RealImpact: A Dataset of Impact Sound Fields for Real Objects
  24. CVPR 2023Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning
  25. CVPR 2023Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylization
  26. CVPR 2023Regularizing Second-Order Influences for Continual Learning
  27. CVPR 2023Renderable Neural Radiance Map for Visual Navigation
  28. CVPR 2023Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation
  29. CVPR 2023Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition
  30. CVPR 2023Revisiting Residual Networks for Adversarial Robustness
  31. CVPR 2023Revisiting Reverse Distillation for Anomaly Detection
  32. CVPR 2023Rigidity-Aware Detection for 6D Object Pose Estimation
  33. CVPR 2023RMLVQA: A Margin Loss Approach for Visual Question Answering With Language Biases
  34. CVPR 2023Robust Outlier Rejection for 3D Registration With Variational Bayes
  35. CVPR 2023Rotation-Invariant Transformer for Point Cloud Matching
  36. CVPR 2023Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks
  37. CVPR 2023ScanDMM: A Deep Markov Model of Scanpath Prediction for 360deg Images
  38. CVPR 2023Semantic-Conditional Diffusion Networks for Image Captioning
  39. CVPR 2023Semidefinite Relaxations for Robust Multiview Triangulation
  40. CVPR 2023SGLoc: Scene Geometry Encoding for Outdoor LiDAR Localization
  41. CVPR 2023ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal
  42. CVPR 2023Shape-Constraint Recurrent Flow for 6D Object Pose Estimation
  43. CVPR 2023Shape-Erased Feature Learning for Visible-Infrared Person Re-Identification
  44. CVPR 2023Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations
  45. CVPR 2023SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds
  46. CVPR 2023Similarity Metric Learning for RGB-Infrared Group Re-Identification
  47. CVPR 2023SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene
  48. CVPR 2023SketchXAI: A First Look at Explainability for Human Sketches
  49. CVPR 2023SliceMatch: Geometry-Guided Aggregation for Cross-View Pose Estimation
  50. CVPR 2023SMPConv: Self-Moving Point Representations for Continuous Convolution

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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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