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4. Fast Single-View 3D Object Reconstruction With Fine Details Through Dilated Downsample And Multi-Path Upsample Deep Neural Network

Fast Single-View 3D Object Reconstruction With Fine Details Through Dilated Downsample And Multi-Path Upsample Deep Neural Network

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IEEE ICASSP 2020 Virtual Conference May 2020

Three-dimensional (3D) object reconstruction is among the mostimportant research areas in the field of computer vision. Its pur-pose is to reconstruct the overall shape of an object from its two-dimensional (2D) image. With the development of deep learnin

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Fast Single-View 3D Object Reconstruction With Fine Details Through Dilated Downsample And Multi-Path Upsample Deep Neural Network

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Three-dimensional (3D) object reconstruction is among the mostimportant research areas in the field of computer vision. Its pur-pose is to reconstruct the overall shape of an object from its two-dimensional (2D) image. With the development of deep learnin