Oct 3, 2019 · We consider the problem of high-dimensional light field reconstruction and develop a learning-based framework for spatial and angular super-resolution.

This Project is a Tensorflow implementation of. "High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction" IEEE ...

We consider the problem of high-dimensional light field reconstruction and develop a learning-based framework for spatial and angular super-resolution.

This work formulate light field super-resolution (LFSR) as tensor restoration and develop a learning framework based on a two-stage restoration with ...

High-dimensional dense residual convolutional neural network for light field reconstruction. Published 2023-11-26 By Lachlan Chen.

Oct 22, 2020 · We consider the problem of high-dimensional light field reconstruction and develop a learning-based framework for spatial and angular super- ...

Aug 20, 2021 · High Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction IEEE PROJECTS 2021-2022 TITLE LIST MTech, BTech, ...

In this paper, we propose a novel high-order residual network to learn the geometric features hierarchically from the LF for reconstruction. Super-Resolution ...

We consider the problem of high-dimensional light field reconstruction and develop a learning-based framework for spatial and angular super-resolution. Many ...

High-dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction, Link, IEEE Transactions on Pattern Analysis and Machine ...