BoostingMonocularDepth VS BoostYourOwnDepth

I suggest using this instead: https://github.com/compphoto/BoostingMonocularDepth

Alternatively maybe run the original image through Boosting Monocular Depth / MiDAS to generate the height map and use that in Substance Designer to generate the other maps (I've only tried this with environment images, not textures) https://github.com/compphoto/BoostingMonocularDepth

With Boosting Monocular Depth with MidasAI or LeresAI you can batch process multiple images (frames) by default with the Colab. You just load them into the "input" folder. https://github.com/compphoto/BoostingMonocularDepth/blob/main/Boostmonoculardepth.ipynb (with the free version of Colab you might only be allowed a couple of hours a day). To download a bunch of depth map frames quickly you need to link your Google Drive to the Colab and then you can drag them directly into a Drive folder from the Colab. Also now there is a (Midas-based I think) After Effects solution. https://aescripts.com/depth-scanner/ but I get an error trying to run it with my hardware

Watch out for the depth model though. By default that uses BoostingMonocularDepth, which is adobe.

All the links over here https://github.com/compphoto/BoostingMonocularDepth

We present a stand-alone implementation of our Merging Operator. This new repo allows using any pair of monocular depth estimations in our double estimation. This includes using separate networks for base and high-res estimations, using networks not supported by this repo (such as Midas-v3), or using manually edited depth maps for artistic use. This will also be useful for scientists developing CNN-based MDE as a way to quickly apply double estimation to their own network. For more details please take a look here.

2) Boost the monocular depth with another Neural Network: https://github.com/compphoto/BoostYourOwnDepth