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I have tried to reproduce the evaluation process on FreiHAND dataset using the pretrained model (texturehand_freihand.t7).
The output hand models seem to be estimated by the model trained using "Average Pose Prior" rather than your pose prior proposed in the supplementary material, as shown below.
Example of the output image (0000_0000029.png)
Images in the supplementary materials
Is it possible to specify your proposed pose prior as the skeleton regularization when running the evaluation process?
If not, could you please share the model trained with your proposed pose prior?
The text was updated successfully, but these errors were encountered:
Hi, thanks for your interest. The provided example model (which might be the average prior one) is not the final version. To reproduce reconstruction with a better pose prior, you could reimplement the training with prior loss. And yes, using the skeleton regularization term to do fitting-based refinement could also help if you want to get a more reasonable pose.
BTW, the current project is not actively maintained. An extended version might be further presented.
Hi,
Thank you for sharing your interesting work!
I have tried to reproduce the evaluation process on FreiHAND dataset using the pretrained model (texturehand_freihand.t7).
The output hand models seem to be estimated by the model trained using "Average Pose Prior" rather than your pose prior proposed in the supplementary material, as shown below.
Example of the output image (0000_0000029.png)
Images in the supplementary materials
Is it possible to specify your proposed pose prior as the skeleton regularization when running the evaluation process?
If not, could you please share the model trained with your proposed pose prior?
The text was updated successfully, but these errors were encountered: