A large-scale wide-baseline light field dataset - Part I

This dataset is the Part I of a large-scale, synthetic wide-baseline light field dataset (called WLF), including 345 light fields. Each light field provides 9x9 angular (RGB) images and ground truth disparities. This light field dataset involves the spatial resolution (512x512) images only. The dataset is originally created for training the deep learning-based models for depth estimation. You might use this dataset for other tasks if possible. You might also have a try to play with this dataset using our code in https://github.com/YanWQ/LLF-Net.