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yuval-alaluf
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restyle-encoder
Official Implementation for "ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement" (ICCV 2021) https://arxiv.org/abs/2104.02699
https://yuval-alaluf.github.io/restyle-encoder/
MIT License
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Training with High Resolution
#86
wjh1065
opened
8 months ago
0
Missing optimisation steps
#85
MISSEY
closed
1 year ago
3
Question about converting pytorch-ada model.
#84
zhanjiahui
closed
1 year ago
1
encoder drive pSp: attribute "logger" missing
#83
NicolasDibot
closed
1 year ago
0
how to express sadness
#82
wudidecc
closed
1 year ago
1
Question about training custom sketch data
#81
YoungNF
closed
1 year ago
2
Upgrade to Cog version 0.1
#80
chenxwh
closed
2 years ago
1
Passing of label during Image Inference
#79
rut00
closed
2 years ago
4
Question about training StyleGAN
#78
fxcdl
closed
2 years ago
2
Is there any way to run on multiple GPUs?
#77
chuangshizhiqiang
closed
2 years ago
0
Use Restyle encoder for whole body image inversion
#76
onyekaokonji
closed
2 years ago
2
Preparing our Restyle_psp_encoder
#75
rut00
closed
2 years ago
1
Editing
#74
JNash123
closed
2 years ago
2
After sh train.sh, did someone stay still like me?
#73
CatDogS
closed
2 years ago
3
Inference on trained model does not reflect test or train output during model training
#72
dboshardy
closed
2 years ago
9
How to make restyle encoder mobile deployment
#71
abdul756
closed
2 years ago
5
Which cuda version did you use?
#70
surfingnirvana
closed
2 years ago
1
Using restyle-encoder on a single-channel image dataset
#69
Mo-Irene
closed
2 years ago
6
`resume_training_from_ckpt` vs `checkpoint_path` flag
#68
RahulBhalley
closed
2 years ago
3
Trains for infinite time duration regardless of `max_steps`
#67
RahulBhalley
closed
2 years ago
7
Set training iteration steps
#66
RahulBhalley
closed
2 years ago
4
Pretrained model for AFHQ Cat & Dog
#65
yingchen001
closed
2 years ago
2
Determining effective training
#64
dboshardy
closed
2 years ago
4
Can I use the psp model weights as a checkpoint?
#63
shampooooo
closed
2 years ago
2
Import issue
#62
MAGLeb
closed
2 years ago
1
bad results
#61
Jimzhou82sub
closed
2 years ago
5
Cannot save model checkpoint when training e4e
#60
romesa-khan
closed
2 years ago
1
RuntimeError: Error(s) in loading state_dict for Generator (custom-trained StyleGAN-ADA)
#59
romesa-khan
closed
2 years ago
2
Can restyle inference run purely on CPU?
#58
jackkwok
closed
2 years ago
2
Is Conditional Image Synthesis possible?
#57
gzhhhere
closed
2 years ago
3
How to get a latentcode.npy file of an custom image can you help me
#56
abdul756
closed
2 years ago
3
batch_size must >=2 without modifying the coach_restyle_psp.py
#55
gzhhhere
closed
2 years ago
1
GradualStyleEncoder
#54
gzhhhere
closed
2 years ago
2
Gender Editing
#53
cursan-a
closed
2 years ago
4
How many images do we need to train a restyle model?
#52
SandroChen
closed
2 years ago
4
Issue with loading moco pretrained model
#51
dongyun-kim-arch
closed
2 years ago
2
The model collapse when use moco loss
#50
tommy-qichang
closed
3 years ago
12
How long for training?(time, and batch size)
#49
tommy-qichang
closed
3 years ago
2
Image-to-Image Translation using ReStyle
#48
abhisheklalwani
closed
3 years ago
7
Dataset Horses and Churches for training and testing.
#47
di-mi-ta
closed
2 years ago
1
Release the pretrained of original pSp model on Car, Horse, AFHQ Wild, Church in the paper
#46
di-mi-ta
closed
2 years ago
4
StyleGAN 3 support?
#45
Kitty-sunray
closed
3 years ago
3
Training Encoder On Xray Dataset
#44
sriderya
closed
2 years ago
4
Generator for training restyle on Stanford Cars
#43
nupurkmr9
closed
3 years ago
1
Invalid Syntax
#42
corranmac
closed
3 years ago
1
Question about Appendix D "Analyzing the Toonify Latent Space"
#41
jscarlson
closed
3 years ago
3
Maybe there is a bug in this line
#40
samotiian
closed
3 years ago
1
Can we reduce the trained model size?
#39
Zeeshan75
closed
3 years ago
6
Options does not change anything
#38
Kitty-sunray
closed
3 years ago
5
Is the training weight valid only for the training set?
#37
sky-fly97
closed
3 years ago
10
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