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Mantang Guo

2 accepted papers

2021

Learning Dynamic Interpolation for Extremely Sparse Light Fields With Wide Baselines

ICCV 2021poster

In this paper, we tackle the problem of dense light field (LF) reconstruction from sparsely-sampled ones with wide baselines and propose a learnable model, namely dynamic interpolation, to replace the commonly-used geometry warping operation. Specifically, with the estimated geometric relation betwe…

Cited by 20PDFcodeScholar
2020

Deep Spatial-angular Regularization for Compressive Light Field Reconstruction over Coded Apertures

ECCV 2020poster

Coded aperture is a promising approach for capturing the 4-D light field (LF), in which the 4-D data are compressively modulated into 2-D coded measurements that are further decoded by reconstruction algorithms. The bottleneck lies in the reconstruction algorithms, resulting in rather limited recons…