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magicleap / Atlas

Atlas: End-to-End 3D Scene Reconstruction from Posed Images
Apache License 2.0
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About fine-tuned model on Scannet. #28

Open ootts opened 3 years ago

ootts commented 3 years ago

Thanks for your nice work! According to your paper, you have fine-tuned the baseline methods MVDepthNet, GPMVS, and DPSNet on the ScanNet dataset. I wonder if you could share the fine-tuned models with us? I'm working on a follow-up work of Atlas and I'm making some modifications to the depth map filtering and fusion pipeline so that I will need to re-run all the TSDF integration and evaluation metrics. Sharing the predicted depth maps on the ScanNet will also suit my needs, however, the files to share will be in a much larger size. Thanks a lot!

zmurez commented 3 years ago

Unfortunately I do not have that code to share. But we just used the respective author's code and wrote a scannet dataset for them. It would be good for someone to implement a unified trainer with each of these methods implemented for the best fair comparison (same data augmentation, training schedule, etc.).

ootts commented 3 years ago

Actually, what we need is the trained models or checkpoints for the baseline methods MVDepthNet, GPMVS, and DPSNet. It will be great if you can share them with us.

zmurez commented 3 years ago

Unfortunately, I also no longer have access to the checkpoints (I no longer work at Magic Leap).