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GhiXu
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Geo-Neus
Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction (NeurIPS 2022)
MIT License
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About preprocessing & points.npy
#27
kongsemancheng
opened
2 months ago
0
about dataset:"data/epfl"
#26
zwq1111
opened
3 months ago
1
An unknown error occurred when running python eval.py
#25
songsenIng
opened
6 months ago
3
performance in DTU
#24
JuliusQv
opened
8 months ago
1
The code for reproducing the paper found that the results were a bit poor.
#23
wujinhu1999
opened
9 months ago
0
About pretrained models
#22
Michaelwjh
opened
9 months ago
0
table1
#21
baekhyun77
opened
11 months ago
0
eval
#20
baekhyun77
opened
11 months ago
0
Neus performance is different from the Neus Paper
#19
LiquidAmmonia
opened
1 year ago
0
Evaluation
#18
fresh-men
opened
1 year ago
0
Doubts about the scale transformation for the sparse points
#17
YZsZY
closed
1 year ago
2
Error when performing eval.py
#16
ZikangYuan
opened
1 year ago
1
about color bias in NeuS
#15
ZhouWeikun
opened
1 year ago
0
Forget to find the root of the denominator when calculating NCC?
#14
YZsZY
closed
1 year ago
1
Inconsistency between the view used in the SDF loss term and the other loss terms
#13
voyleg
opened
1 year ago
3
Pre-trained models?
#12
mli0603
opened
1 year ago
4
Will you provide pre-trained model?
#11
ZhouWeikun
opened
1 year ago
0
script for generating points.npy and view_id.npy
#10
JiawangBian
opened
1 year ago
7
Reproductivity of released code
#9
g3956
opened
1 year ago
0
Explanation of the mid_inside_sphere term
#8
reconlabs-sergio
opened
1 year ago
1
Computing points.npy, view_id.npy, pairs.txt
#7
reconlabs-sergio
opened
1 year ago
6
Create LICENSE
#6
GhiXu
closed
1 year ago
0
Code release?
#5
morsingher
opened
1 year ago
1
Question about visible points for each view
#4
alvin528
opened
1 year ago
2
Differentiable Depth Values in Photometric Loss
#3
anuveshkumar
opened
1 year ago
1
Question on Sampling Strategy
#2
anuveshkumar
closed
1 year ago
2
Question about source views
#1
Burningdust21
closed
2 years ago
2