researchmm AOT-GAN-for-Inpainting issues

researchmm / AOT-GAN-for-Inpainting

[TVCG'2023] AOT-GAN for High-Resolution Image Inpainting (codebase for image inpainting)

https://arxiv.org/abs/2104.01431

Apache License 2.0

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issues

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请问图像和掩膜应该在哪里获取呢

#21 danganyuan opened 2 days ago
0
使用训练权重验证出现问题

#20 skaasr opened 1 week ago
1
Unable to train

#19 s8088899 closed 1 month ago
1
training failed

#18 jackleibest opened 1 month ago
3
Cannot test

#17 EXGHLI opened 1 month ago
1
Please update this git with latest version of packages

#16 abhishek7467 opened 3 months ago
0
Own dataset

#15 aniol6 opened 3 months ago
1
c++

#14 xiangw369 opened 3 months ago
2
Cannot train the model

#13 deepu-rajesh opened 3 months ago
2
用celeba_256数据集从头训练为什么无法收敛？

#12 Cynicarlos closed 5 months ago
0
Update loss.py

#11 tree-sun closed 1 year ago
0
Fixed conda environment error and 'num_samples=0' error

#10 Dutra-Apex opened 1 year ago
1
Patch 1

#9 Dominic-ZZ closed 1 year ago
0
Picking the right model for random use-case

#8 roimulia2 opened 3 years ago
0
Style Loss is the major player for good results and not Adversarial Loss.

#7 praeclarumjj3 opened 3 years ago
1
Bugs in Adversarial Training.

#6 praeclarumjj3 closed 3 years ago
1
Fix for non-distributed GPU configurations

#5 DenizUgur closed 3 years ago
1
Do the traning masks need to be hand-crafted generated？

#4 lifengcs closed 3 years ago
4
Cannot reproduce results from paper with pre-trained model

#3 clementabary opened 3 years ago
1
Confuse about the my_layer_norm function and GAN loss function

#2 SeeU1119 opened 3 years ago
4
Loading pre-trained model throws error

#1 karynaur closed 3 years ago
3