MVTN: Multi-View Transformation Network for 3D Shape Recognition

2021 IEEE/CVF International Conference on Computer Vision (ICCV)(2021)

引用 165|浏览281
暂无评分
摘要
Multi-view projection methods have demonstrated their ability to reach state-of-the-art performance on 3D shape recognition. Those methods learn different ways to aggregate information from multiple views. However, the camera view-points for those views tend to be heuristically set and fixed for all shapes. To circumvent the lack of dynamism of current multi-view methods, we propose to learn those...
更多
查看译文
关键词
Training,Point cloud compression,Computer vision,Three-dimensional displays,Shape,Pipelines,Performance gain
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