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Found 2 papers, 1 papers with code
Self-Supervised Light Field Depth Estimation Using Epipolar Plane Images
In this paper, we propose a self-supervised learning framework for light field depth estimation.
EPI-based Oriented Relation Networks for Light Field Depth Estimation
Based on the observation that an oriented line and its neighboring pixels in an EPI share a similar linear structure, we propose an end-to-end fully convolutional network (FCN) to estimate the depth value of the intersection point on the horizontal and vertical EPIs.
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