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DmitryUlyanov
/
texture_nets
Code for "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images" paper.
Apache License 2.0
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The shape of running_mean
#98
wei61547-jp
opened
2 years ago
0
windows
#97
rosyriver
closed
5 years ago
0
What is the real difference between this model and Johnson's model?
#96
dypromise
opened
5 years ago
0
Broken link in README
#95
ovcharenkoo
opened
5 years ago
0
train wrong
#94
huihuangzhao
closed
6 years ago
0
60+ gigs of RAM needed?
#93
shubhvachher
closed
6 years ago
3
Support for CUDNN 7 please?
#92
shubhvachher
closed
6 years ago
3
CUDNN is not installed in CUDA directory by default
#91
shubhvachher
opened
6 years ago
0
How to generate texture?
#90
trikim
closed
6 years ago
0
training parameter
#89
suke27
opened
6 years ago
0
Only plain blank color images rendering
#88
dotKokott
opened
6 years ago
1
Update TVloss
#87
lambdawill
closed
6 years ago
2
Is BN running in eval mode during test time?
#86
chanshing
closed
6 years ago
1
Blank image and low quality style models
#85
engahmed1190
opened
6 years ago
1
SpatialConvolution : assertion failed!
#84
engahmed1190
opened
6 years ago
0
Terrible! Can not continue train model on a different GPU!
#83
Naruto-Sasuke
closed
6 years ago
1
Printing pretrained torch model options
#82
engahmed1190
opened
7 years ago
4
Update Readme
#81
ayushidalmia
opened
7 years ago
0
Why no content image input for style transfer during training?
#80
zxdan523
opened
7 years ago
0
Help,getting error while training !
#79
Yujiehang
opened
7 years ago
1
where is the supplementary material mentioned in your new paper Improved Texture Networks?
#78
JacobLee121
closed
7 years ago
2
Does BN function equivalently to InstanceNorm when batchsize equals 1?
#77
Naruto-Sasuke
closed
7 years ago
4
Transfer model to apple core ml
#76
markzhong88
opened
7 years ago
2
Generate smooth sky from an original image with unsmooth sky
#75
michaelhuang74
opened
7 years ago
6
invalid device ordinal
#74
wq409813230
opened
7 years ago
6
Improvements made while working on GTC NVidia demo.
#73
Yakushev-NVidia
closed
7 years ago
1
Where is the code for implementing the term "lamda" in Equation (10) of the paper "Improved Texture Networks"?
#72
michaelhuang74
opened
7 years ago
5
-init image option?
#71
wulabs
closed
7 years ago
1
Add RiseML demo.
#70
elmarhaussmann
closed
7 years ago
0
unknown Torch class <nn.SpatialReplicationPadding>
#69
AlexNarbut
opened
7 years ago
1
Help to trim the dataset
#68
AlexNarbut
opened
7 years ago
9
Encounter error when trying to use ResNet-50 to replace VGG-19 as the loss network
#67
michaelhuang74
opened
7 years ago
2
Bad results – what parameters to fix?
#66
carolinehermans
opened
7 years ago
1
Assign different weights to different style layers
#65
michaelhuang74
opened
7 years ago
4
question about the preprocess
#64
austingg
closed
7 years ago
2
GPU utilization is 0% when the image_size=768 in training
#63
michaelhuang74
opened
7 years ago
0
Training terminates after 1300 iterations
#62
ShushanArakelyan
closed
7 years ago
14
Encounter error when using models "pyramid" and "skip_unpool" in training and testing
#61
michaelhuang74
closed
7 years ago
13
ERROR: an illegal memory access was encountered
#60
besirkurtulmus
closed
7 years ago
3
what different between model value,"pyramid" and "johnson"?
#59
lancodec
opened
7 years ago
1
Great result from new parameters
#58
markzhong88
opened
8 years ago
0
Why not calculating TVloss during forward pass?
#57
kaca0083
opened
8 years ago
1
The main repo is targeting Texture but not Style transfer?
#56
0000sir
closed
8 years ago
1
Will it be faster to train a model on GPU rather than a CPU? how can I make it support OpenCL?
#55
0000sir
closed
8 years ago
2
Faster on 8*4GHz / 32G Mem than 32*2GHz / 64G Mem ?
#54
0000sir
opened
8 years ago
10
Error save model
#53
chakkritte
closed
8 years ago
0
Correct params for train
#52
nandexsp
closed
8 years ago
1
Resuming from last checkpoint
#51
davidemaz
closed
8 years ago
4
Using Multi-GPUs
#50
MikeChenfu
closed
8 years ago
0
Resolution Limitation
#49
vidda13
opened
8 years ago
2
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