Depth Map Super-Resolution Using Guided Deformable Convolution

Depth maps acquired by low-cost sensors have low spatial resolution, which restricts their usefulness in many image processing and computer vision tasks. To increase the spatial resolution of the depth map, most state-of-the-art depth map super-resolution methods based on deep learning extract the f...

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Bibliografske podrobnosti

Principais autores:	Joon-Yeon Kim, Seowon Ji, Seung-Jin Baek, Seung-Won Jung, Sung-Jea Ko
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2021-01-01
Serija:	IEEE Access
Teme:	Convolutional neural network depth map super-resolution
Online dostop:	https://ieeexplore.ieee.org/document/9420066/
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