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lingtengqiu
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Open-PIFuhd
This is an implementation of PIFuhd based on Pytorch
MIT License
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how to use this for just inference using pretrained weights ..?
#27
sahilshukla3003
opened
4 months ago
0
> follow the dataset I write. https://github.com/lingtengqiu/Open-PIFuhd/blob/master/engineer/datasets/RPDataset.py, you could simply set camera matrix when u test
#26
sahilshukla3003
opened
4 months ago
0
unable to test
#25
sahilshukla3003
opened
4 months ago
0
Questions about RENDER_NORMAL
#24
yangqinhui0423
opened
5 months ago
2
The obj model generates exceptions
#23
gjxwwww8888
opened
1 year ago
0
runtime error
#22
gjxwwww8888
opened
1 year ago
0
Sincere Request for Discussion on this Repo
#21
randaldong
closed
1 year ago
0
关于渲染法线时应该选择哪个管线(train_pipeline or test_pipeline)
#20
sesveria
closed
1 year ago
10
the dataloader is very slow if when using the patch sampling of points and normals
#19
sinAshish
closed
1 year ago
2
Where should I put the test image? I want to use this model to generate some obj files?
#18
hanchaoyuan
opened
1 year ago
2
Pretrain model of pix2pixhd for RenderPeople is not found
#17
kings-rgb
opened
2 years ago
0
关于训练模型的测试
#16
lanlan17
opened
2 years ago
2
关于calib矩阵的一些问题
#15
Andyen512
opened
2 years ago
3
Error with ./scripts/train_pfhd_coarse.sh command
#14
Gallonigher
opened
2 years ago
0
RenderPeople dataset still available?
#13
nlml
opened
2 years ago
0
文件Garment构成
#12
Kxitinga
opened
2 years ago
6
程式碼操作順序
#11
yeh1115
opened
2 years ago
1
how to get ground truth of Normal ??
#10
ylab604
opened
2 years ago
22
How can I generate the depth map?
#9
sainatarajan
opened
2 years ago
1
一些问题想咨询
#8
LiuXinqi12
opened
2 years ago
1
Contract work?
#7
radman-x
opened
2 years ago
0
关于背部法线训练
#6
hungsing92
closed
3 years ago
2
demo commands
#5
culurciello
opened
3 years ago
0
Could you release the pretrained model of image2backnormal1024?
#4
jiaqiAA
opened
3 years ago
0
Please add license information
#3
cansik
closed
3 years ago
1
pretrained model
#2
zztianzz
closed
3 years ago
2
coding之神?
#1
xjxu21
closed
3 years ago
0