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KAIST-VICLab
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cloud_nerf
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colmap_depth.npy
#26
zhihaohaoran
opened
8 months ago
0
Can this be applied to dynamic scenes?
#25
starsong98
closed
10 months ago
1
Is it bound to only one object or able to apply multiple objects?
#24
novwaul
closed
10 months ago
1
What are the minimum GPU specifications required to run the model?
#23
hmnc0415
closed
10 months ago
1
About the N_importance
#22
dayna-k
closed
10 months ago
1
How did you convert llff dataset to point cloud?
#21
alskdj90
closed
10 months ago
1
Did you try experimenting with a different loss function than the one used in this experiment?
#20
olzlof51
closed
10 months ago
1
Why the color loss is necessary?
#19
hyebiny
closed
10 months ago
1
Can this train on 360-view dataset?
#18
lionking6792
closed
10 months ago
1
How long does it take for training?
#17
dbcoral7
closed
10 months ago
1
number of parameters
#16
opotence12
closed
10 months ago
1
Is this code be able to operate on different version of Pytorch??
#15
ImJongminPark
closed
10 months ago
1
Is this code be able to operate on different version of Pytorch??
#14
brachiohyup
closed
10 months ago
0
Can I run this code on my own dataset?
#13
brachiohyup
closed
10 months ago
1
Create License
#12
KAIST-VICLab
closed
1 year ago
0
Questions about the impact of the number of training images
#11
Sungpyokim97
closed
1 year ago
1
Question about high frequency representation
#10
byeongjun22
closed
1 year ago
1
[Question] Capacity of the point cloud
#9
dayna-k
closed
1 year ago
1
How would the number of MLP layers affect performance?
#8
starsong98
closed
1 year ago
1
Question about inference time
#7
ChaeyeonSon
closed
1 year ago
1
[Question] Results on other datasets
#6
wonozlo
closed
1 year ago
1
About implementation detail
#5
ngoductuanlhp
closed
1 year ago
1
add result jpg files on README
#4
pmjames16
closed
1 year ago
0
add sh feature
#3
quan5609
closed
1 year ago
0
add colmap points option
#2
quan5609
closed
1 year ago
0
Multi GPU training
#1
triton99
closed
1 year ago
1