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chaofengc
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FeMaSR
PyTorch codes for "Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors", ACM MM2022 (Oral)
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模型下载
#24
66ling66
opened
3 weeks ago
0
About Train
#23
pokameng
opened
1 month ago
4
train
#22
ConanMusk
opened
3 months ago
1
the result is a little distorted
#21
Winnie202
opened
9 months ago
0
Please tell me how to use your code without tiling?
#20
zelenooki87
closed
10 months ago
1
DATASET PREPARATION
#19
zhf12339
opened
1 year ago
0
Bug encountered when specifying 'weight' argument during inference.
#18
Luo-Yihang
closed
1 year ago
1
too much gpu memory is consumed, 15G for size 1500x1500 with x2 model, 23G for size 1024x1024 with x4 model. where is the cost so much?
#17
pxEkin
opened
1 year ago
0
results of vqgan
#16
Winnie202
closed
1 year ago
2
Training of LR stage
#15
Mayongrui
opened
2 years ago
5
Pre-processing to generate 512x512 patches of FFHQ dataset
#14
Mayongrui
closed
2 years ago
2
About FFHQ dataset
#13
Mayongrui
closed
2 years ago
5
x2预训练模型
#12
zhangzheng2242
closed
2 years ago
1
Training details
#11
Imalne
closed
2 years ago
6
New Super-Resolution Benchmarks
#10
EvgeneyBogatyrev
closed
2 years ago
1
About Training Details
#9
huicongzhang
closed
2 years ago
1
swin-transformer
#8
Nirvana-feng
closed
2 years ago
4
About converting model to .onnx-> ncnn?
#7
zelenooki87
closed
2 years ago
5
About multi-scale VectorQuantizer structure.
#6
yjzhang96
closed
2 years ago
2
About multi-code texture visualization
#5
Wolfybox
closed
2 years ago
3
Can you tell me what is the specific configuration of the quantexsr_net_g_best.pth?
#4
brillianti
closed
2 years ago
4
Could you please elaborate on how the data is fed into the network?
#3
brillianti
closed
2 years ago
4
About the outputs of lq stage of QuanTexSR
#2
Wolfybox
closed
2 years ago
0
Problem Download Models
#1
playdasegunda
closed
2 years ago
1