Framework of normal network&IF
glorioushonor opened this issue · 1 comments
Hi, I'm sorry to take up your time with a simple question. Normal network and IF are not explained too much in this paper. Do you refer to other methods? Because I am not familiar with these part and my code ability is relatively weak, it is difficult to tease out the complete and accurate network structure from the code. IF you can tell me where I learned the network structure of normal network and IF, it will be easier for me to read the code. Or could you give me some hints on where to focus the code for normal network and IF? Thank you very much.
Normal network comes from PIFuHD [1].
IF regressor comes from MonoPort [2].
[1] Saito, Shunsuke, et al. "Pifuhd: Multi-level pixel-aligned implicit function for high-resolution 3d human digitization." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020.
[2] Li, Ruilong, et al. "Monocular real-time volumetric performance capture." Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXIII 16. Springer International Publishing, 2020.