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Found 6 papers, 2 papers with code
Unsupervised Light Field Depth Estimation via Multi-view Feature Matching with Occlusion Prediction
Depth estimation from light field (LF) images is a fundamental step for numerous applications.
LRT: An Efficient Low-Light Restoration Transformer for Dark Light Field Images
Light field (LF) images containing information for multiple views have numerous applications, which can be severely affected by low-light imaging.
Newton-Type Optimal Thresholding Algorithms for Sparse Optimization Problems
In this paper, we propose the so-called Newton-type optimal $k$-thresholding (NTOT) algorithm which is motivated by the appreciable performance of both Newton-type methods and the optimal $k$-thresholding technique for signal recovery.
Light Field View Synthesis via Aperture Disparity and Warping Confidence Map
This paper presents a learning-based approach to synthesize the view from an arbitrary camera position given a sparse set of images.
High-Order Residual Network for Light Field Super-Resolution
In this paper, we propose a novel high-order residual network to learn the geometric features hierarchically from the LF for reconstruction.
High-dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction
We consider the problem of high-dimensional light field reconstruction and develop a learning-based framework for spatial and angular super-resolution.
