You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Thank you for the wonderful research!
Really enjoyed reading your paper (also, the recent ICCV paper was great!)
While I was reading the paper, I recognize the details for the super-resolution (SR) experiments are somewhat missing.
For me SR was not trivial in INR-GAN as it utilizes MultiScale-INR.
If possible could you share the details of SR experiments? e.g., increasing the resolution of the first input grid...?
If you can share the implementation of SR, it couldn't be better!
Hope you have a nice day,
Jihoon
The text was updated successfully, but these errors were encountered:
Hi, Jihoon! In the original paper, we did the upsamplingafterthe first multi-scale block, but as far as I remember, this choice was quite arbitrary and the model performed more-or-less the same regardless of the block idx you choose to do the upsampling in.
In the current implementation, the superresolution is not implemented, I will take a look at it next week. I believe the most reasonable place to incorporate it is before the first block, i.e. in the CoordsInput layer. But this would require to change some misc.assert_shape(...) statements and interpolate static positional embeddings to match the required image size (otherwise, it will fail here).
Hi Ivan,
Thank you for the wonderful research!
Really enjoyed reading your paper (also, the recent ICCV paper was great!)
While I was reading the paper, I recognize the details for the super-resolution (SR) experiments are somewhat missing.
For me SR was not trivial in INR-GAN as it utilizes MultiScale-INR.
If possible could you share the details of SR experiments? e.g., increasing the resolution of the first input grid...?
If you can share the implementation of SR, it couldn't be better!
Hope you have a nice day,
Jihoon
The text was updated successfully, but these errors were encountered: