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Found 3 papers, 3 papers with code
Bridging Unsupervised and Supervised Depth from Focus via All-in-Focus Supervision
In this paper, we propose a method to estimate not only a depth map but an AiF image from a set of images with different focus positions (known as a focal stack).
Indoor Panorama Planar 3D Reconstruction via Divide and Conquer
Indoor panorama typically consists of human-made structures parallel or perpendicular to gravity.
360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume
Recently, end-to-end trainable deep neural networks have significantly improved stereo depth estimation for perspective images.
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