Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report.
Andrey IgnatovGrigory MalivenkoDavid PlowmanSamarth ShuklaRadu TimofteZiyu ZhangYicheng WangZilong HuangGuozhong LuoGang YuBin FuYiran WangXingyi LiMin ShiKe XianZhiguo CaoJin-Hua DuPei-Lin WuChao GeJiaoyang YaoFangwen TuBo LiJung Eun YooKwanggyoon SeoJialei XuZhenyu LiXianming LiuJunjun JiangWei-Chi ChenShayan JoyaHuanhuan FanZhaobing KangAng LiTianpeng FengYang LiuChuannan ShengJian YinFausto T. BenavidePublished in: CoRR (2021)
Keyphrases
- single image
- mobile devices
- depth estimation
- super resolution
- depth map
- multiple images
- stereo vision
- specular reflection
- d scene
- image pairs
- scene understanding
- stereo matching
- shape from shading
- disparity map
- light source
- depth information
- high quality
- low resolution
- dynamic scenes
- stereo pair
- stereo images
- multi view
- computer vision