trained model and configs
felix-ky opened this issue · 4 comments
Thank you for updating the code,
could you please update "amass_softplus.yaml" and the optimal model?
best wishes
We are running some tests and will update the model and config asap.
Sorry for the delay
Thank you so much.
Do denoise results of humor in Table 1 computed by adding noise to rotation and then converted to 3Djoints as input to humor's TestOpt? as I found humor only performs denoising of 3Djoints.
best wishes
Thank you so much.
Do denoise results of humor in Table 1 computed by adding noise to rotation and then converted to 3Djoints as input to humor's TestOpt? as I found humor only performs denoising of 3Djoints.
best wishes
Hi, we use the loss function described in eq 7 and 8 of the paper(section 4.2), we use both joint and SMPL vertices in our denoising.
Thank you so much
to confirm, denoising using humor in table 1 just change posndf prior to humor prior in eq 7 ?
could you update the code using humor to denoise?
best wishes