jmlr training code vs description in arxiv paper

Thanks for sharing your excellent work!
I am looking through your code, and there seem to be some differences with the paper shared on arxiv (or I misunderstood something).
Are the data preparation, training, and configuration files the same as those used to train the pretrained-model you share?
Some examples:
1. in `rec_builder.py` line 79, `cfg.input_size = 512`. My understanding is that this results in image with size 512, not 256 as described in the paper
2. in `train.py` line 245, we have `iter_loss.backward()`, but `iter_loss = dloss['Loss']`, which does not include the "bone_losses". I.e. We only have L_vert + L_land in Eq. 4 in the paper on arxiv.

Thanks in advance.