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Implementation for "Plug-and-Play: Improve Depth Prediction via Sparse Data Propagation"

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https://github.com/zswang666/PnP-Depth/blob/f3e20dd8e119b76baaf33beb4d46c3b25ade4f45/sparse-to-dense.pytorch/main_pnp.py#L254 this should be `ori_pred = model.pnp_forward_rear(model.pnp_forward_front(input)) ` instead of the original one

It seems that every z is generated from a particular test sample x, we need ground truth sparse depth map D_s to update z for each x. Does it mean...

This project will change the world !!!