Refining Monocular Depth Estimation using PatchGAN Priors

Learning Depth for Autonomous driving from Monocular Images

Network

The repo presents an approach to refine monocular depth estimates by incorporating a patch discriminator.

To train, please run

python train.py [args]

Results

The final results for KITTI are still pending. For the NYU dataset, it achieves a MSE of 0.03 and L1 Loss of 0.08.

Here are a few snapshots