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Further fine tuning for texture after fixing the geometry
bash dtu-freese.sh 114
Run on custom datasets
Similar to the provided DTU scene, you will need to provide a custom data loader
similar to data/dtu_dataset.py and modify the dataset arguments in the bash
scripts accordingly.
Similar to the dtu_dataset.py, the custom dataset needs to provide the
following fields when getting and item:
gt_mask, a 0/1 mask for background/foreground.
near, the near plane for point sampling on the ray
far, the far plane for point sampling on the ray
raydir, ray directions
gt_image, ground truth pixel colors
background_color, color of the image background
The captured scene must be contained in the unit cube centered at world origin.
Citation
@InProceedings{xiang2021neutex,
author = {Xiang, Fanbo and Xu, Zexiang and Hašan, Miloš and Hold-Geoffroy, Yannick and Sunkavalli, Kalyan and Su, Hao},
title = {{N}eu{T}ex: {N}eural {T}exture {M}apping for {V}olumetric {N}eural {R}endering},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2021}}