Open XiaoqiangZhou opened 10 months ago
Apparently there are _interp
variants to the network architecture classes, though they seem to require their own training, so you have to pick the maximum resolution you intend to use.
That is my understanding anyway.
PS. Also there is a recent paper from the same team which is all about interpolation of hash-table based INR : https://arxiv.org/abs/2309.12642
Thanks for sharing the great work.
A question is that how to test with the interpolated coords. For example, the model is overfitted with an input image with size 100x100. I want to reconstruct the image with 200x200 resolution from the trained models. I find that the hash mode hinders the feasibility. When turn off the hash mode, the performance drops greatly.
So, could you please tell me how to test with an arbitrary image size (different from the training size). Is it a limitation of this work?
Best regards,