Reitrained model can not achieve very good quality

[ZhenhuiL1n]

Hi,

I retrained the model using the 2K2K dataset and tried and finished stage 1 (30 epochs) and stage 2 (10 epochs) with the same setting illustrated in the paper. The results are not as good as the ones provided, and I have a few questions about the retraining.

1. Firstly, I want to ask in the training if you used background augmentation in both phase 1 and phase 2. If I add the background augmentation in the tensorboard, the model can not predict good results. I can show the results when I add background argumentation in phase 2. The result is shown below:

2. I trained the model without background augmentation; some of the test results are good, but some of them are very bad, did you experience this kind of artifacts before?

   I found that the results for most of the captured photos are not very good; there are artifacts shown in the below picture, they are mostly locate on the edge of the human and points inside out from the image plane if we look from front.

   The rendering people and THuman testing results are good, and Hanni is good for some reason.

3. I only trained the model with no shading rendering; does training the model with shading help?