Awesome
SSP3D: Semi-supervised single-view 3d reconstruction via prototype shape priors
@inproceedings{xing2022semi,
title={Semi-supervised single-view 3d reconstruction via prototype shape priors},
author={Xing, Zhen and Li, Hengduo and Wu, Zuxuan and Jiang, Yu-Gang},
booktitle={ECCV},
year={2022}
}
Set ShapeNet datasets
imagefile dataset/ShapeNetRendering
voxelfile dataset/ShapeNetVox32
Set Pix3D dataset
imagefile dataset/img/ voxelfile dataset/model/
train ShapeNet stage1
python runner_shapenet.py
train ShapeNet stage2
python runner_shapenet.py --finetune --weights=xxx.pth
test ShapeNet
python runner_shapenet.py --test --weights=xxx.pth
train Pix3D stage1
python runner_pix3d.py
train Pix3D stage2
python runner_pix3d.py --finetune --weights=xxx.pth
test Pix3D
python runner_pix3d.py --test --weights=xxx.pth