ku-cvlab/nemf

Official code implementation of NeMF (NeurIPS'22)

nemf's Issues

When to open source training code

Hello, your work is very good.
When can the training code be open source?

Link for the pre-trained weights is broken

The link to the google drive shows Error 404.
Could you fix it so that I can run your model with pretrained weights?

Possible bug in utils_training/evaluation.py

I implemented the training code myself, but my trained model yielded PCK less than 10 at the threshold 0.1.
Then, I found that the function, eval_kps_transfer_test() is using source keypoints as ground truth instead of target keypoints.
After the fix, I get a PCK of about 42 at the threshold 0.1

Inside the function eval_kps_transfer_test(cls, prd_kps, batch, alpha), batch['src_kps'] should be changed to batch['trg_kps']

Could you verify whether this is right?

Thank you.

Visual Correspondence Matching

Hi,

Enjoyed looking over the paper. I was wondering if you could comment at all on the suitability of this work for visual (rather than semantic) correspondence matching? I.e. For use in an image stitching, or structure-from-motion context.