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How to train NVIDIA-long-release dataset?

Open sjdfkjawe opened this issue 2 years ago • 2 comments

Hello, thank you so much for making your work open source. May I ask whether it is possible to train NVIDIA-long-release., such as balloon1 dataset, directly in the way of DynibarFF model, I notice you didn't open the train.py file for NVIDIA-long-release. Or if I can train the NVIDIA-long-release dataset in the DynibarMono way after preparing pre-processed files such as disp,masks , flow same as kid-running dataset.

Looking forward to your reply very much,Thank you.

sjdfkjawe avatar Jul 29 '23 01:07 sjdfkjawe

Hi, The major difference is for nvidia dataset, you don't need virtual source view, so you can remove this part in the data loader and rendering function.

zhengqili avatar Aug 09 '23 21:08 zhengqili

Thanks for your great work!

I have the similar question about train/render the data in nvidia_long_realease. I don't really understant that 'nvidia dataset doesn't need virtual source view,'. If so, where can we set the novel view poses?

Thanks!

CTouch avatar Sep 07 '23 08:09 CTouch