360 Depth Estimation in the Wild - the Depth360 Dataset and the SegFuse Network
2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)(2022)
摘要
Single-view depth estimation from omnidirectional images has gained popularity with its wide range of applications such as autonomous driving and scene reconstruction. Although data-driven learning-based methods demonstrate significant potential in this field, scarce training data and ineffective 360 estimation algorithms are still two key limitations hindering accurate estimation across diverse d...
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关键词
Training,Three-dimensional displays,MIMICs,Semantics,Estimation,Training data,Virtual reality
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