spatialsr / DeepLightFieldSSR

DeepLightFieldSSR

Light Field Spatial Super-Resolution Using Deep Efficient Spatial-Angular Separable Convolution

Requirements and Dependencies

• Matlab
• cuda and cudnn (For GPU. Please modify install.m if not using cudnn)

Installation

# Start MATLAB
$ matlab
>> install

Training

Please first download the dataset from http://lightfields.stanford.edu/

>> train_Spatial_SR(scale, depth, gpu)

scale: needs to be 2, 3 or 4.
depth: the desired model depth (recommended 10).
gpu: 1 if using GPU, otherwise 0.

Testing Pretrained Models

Please first download all images from the miscellenous class from http://lightfields.stanford.edu/

>> test_pretrained(model_scale, gpu)

model_scale: needs to be 2, 3 or 4.
gpu: 1 if using GPU, otherwise 0.

Authors

Henry W. F Yeung*, Junhui Hou*, XiaoMing Chen, Jie Chen, Zhibo Chen and Yuk Ying Chung

*Contributed equally to this paper.