Abnormal transferring appearance results

[SherlockSunset]

Thanks for the great work. For my side, I am trying to train one appearance and transfer it to other unseen geometry objects, but the results are not so correct, may I know is

there anyone else also encountered this issue? Thanks in advance.

[ahnaf1393]

@SherlockSunset Hi, could you tell me how you were able to get colored models?

[g-gaurav]

Hi .@SherlockSunset. I am also facing the same issue. and even I tried with the same appearance and same geometry id. still was not getting the right results

[g-gaurav]

@ahnaf1393 these are the rendered images not the colored models.

[SherlockSunset]

Hi .@SherlockSunset. I am also facing the same issue. and even I tried with the same appearance and same geometry id. still was not getting the right results

Same appearance and same geometry id? you mean you can't get right results even you just utilize the trained weights that the author provided for each case?

[g-gaurav]

@SherlockSunset I tried it for my own trained model using the evaluation/eval_disentanglement.py script. but not getting the right results.

[g-gaurav]

@SherlockSunset for the author provided model i am getting the following error "ValueError: num_samples should be a positive integer value, but got num_samples=0
"

[SherlockSunset]

@SherlockSunset for the author provided model i am getting the following error "ValueError: num_samples should be a positive integer value, but got num_samples=0 "

Hi, maybe you can double check whether the dataset id you are using is correct or not.