Adaptive Multiplane Image Generation from a Single Internet Picture

• URL: http://arxiv.org/abs/2011.13317v1
• Date: Thu, 26 Nov 2020 14:35:05 GMT
• Title: Adaptive Multiplane Image Generation from a Single Internet Picture
• Authors: Diogo C. Luvizon, Gustavo Sutter P. Carvalho, Andreza A. dos Santos, Jhonatas S. Conceicao, Jose L. Flores-Campana, Luis G. L. Decker, Marcos R. Souza, Helio Pedrini, Antonio Joia, Otavio A. B. Penatti
• Abstract summary: We address the problem of generating a multiplane image (MPI) from a single high-resolution picture. We propose an adaptive slicing algorithm that produces an MPI with a variable number of image planes. We show that our method is capable of producing high-quality predictions with one order of magnitude less parameters compared to previous approaches.
• Score: 1.8961324344454253
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In the last few years, several works have tackled the problem of novel view synthesis from stereo images or even from a single picture. However, previous methods are computationally expensive, specially for high-resolution images. In this paper, we address the problem of generating a multiplane image (MPI) from a single high-resolution picture. We present the adaptive-MPI representation, which allows rendering novel views with low computational requirements. To this end, we propose an adaptive slicing algorithm that produces an MPI with a variable number of image planes. We present a new lightweight CNN for depth estimation, which is learned by knowledge distillation from a larger network. Occluded regions in the adaptive-MPI are inpainted also by a lightweight CNN. We show that our method is capable of producing high-quality predictions with one order of magnitude less parameters compared to previous approaches. The robustness of our method is evidenced on challenging pictures from the Internet.

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