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Found 5 papers, 0 papers with code
PAG-Net: Progressive Attention Guided Depth Super-resolution Network
In this paper, we propose a novel method for the challenging problem of guided depth map super-resolution, called PAGNet.
My camera can see through fences: A deep learning approach for image de-fencing
In recent times, the availability of inexpensive image capturing devices such as smartphones/tablets has led to an exponential increase in the number of images/videos captured.
Towards an Automated Image De-fencing Algorithm Using Sparsity
We cast the fence removal problem in an optimization framework, by modeling the formation of the degraded observations.
Stereo image de-fencing using smartphones
Conventional approaches to image de-fencing have limited themselves to using only image data in adjacent frames of the captured video of an approximately static scene.
Deep learning based fence segmentation and removal from an image using a video sequence
Conventional approaches to image de-fencing use multiple adjacent frames for segmentation of fences in the reference image and are limited to restoring images of static scenes only.
