I’ve encountered a strange issue. When I use your provided pre-trained model, I can obtain the correct texture for the back. However, when I use my retrained model, I cannot get the correct back texture. I believe the issue lies with the texture estimation MLP in my trained model, which seems to be estimating incorrect colors. By the way, the geometric metrics of my retrained model during testing are almost identical to those mentioned in the paper. The issue seems to be only with the texture generation MLP.
I generated the ICON and PIFU datasets correctly using the provided scripts. Aside from modifying the dataset access path, I haven’t made any other changes to the code.
Could you provide any insights or suggestions on what might be causing this?
Hello, Dr. Zhang,
I’ve encountered a strange issue. When I use your provided pre-trained model, I can obtain the correct texture for the back. However, when I use my retrained model, I cannot get the correct back texture. I believe the issue lies with the texture estimation MLP in my trained model, which seems to be estimating incorrect colors. By the way, the geometric metrics of my retrained model during testing are almost identical to those mentioned in the paper. The issue seems to be only with the texture generation MLP.
I generated the ICON and PIFU datasets correctly using the provided scripts. Aside from modifying the dataset access path, I haven’t made any other changes to the code.
Could you provide any insights or suggestions on what might be causing this?
Thank you for your time!