SceneGen: Learning to Generate Realistic Traffic Scenes

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)(2021)

引用 49|浏览152
暂无评分
摘要
We consider the problem of generating realistic traffic scenes automatically. Existing methods typically insert actors into the scene according to a set of hand-crafted heuristics and are limited in their ability to model the true complexity and diversity of real traffic scenes, thus inducing a content gap between synthesized traffic scenes versus real ones. As a result, existing simulators lack t...
更多
查看译文
关键词
Computer vision,Computational modeling,Complexity theory,Pattern recognition
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要