Hi!
Thanks for sharing your work it helps develop my understanding.
I am trying to understand the TPS warp operations am I correct in saying:
The model predicts the TPS transformation parameters
The TPS transformation parameters are then applied to each level of the latent features (ie the downscaled image features)?
The TPS transformation parameters are learned by back propagating between the ground truth warped segmentation map (only the cloth item) and the predicted warped cloth mask?
Hi! Thanks for sharing your work it helps develop my understanding.
I am trying to understand the TPS warp operations am I correct in saying:
Thank you kindly