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wooseoklee4
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AP-BSN
Official PyTorch implementation of "AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network" in CVPR 2022.
MIT License
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SIDD在kaggle上测试的结果
#21
zhanzhanblue
opened
2 weeks ago
0
Testing PSNR and SSIM Metrics on the DND Dataset
#20
mhs17
opened
2 months ago
1
About experiment results
#19
liuxuuuu
opened
3 months ago
2
About train dataset and PD
#18
eunji00-kim
closed
3 months ago
1
Inference issues
#17
TwilightArchon
closed
3 months ago
2
How do I convert the output png image to .mat to upload to SIDDbenchmark for submission?
#16
ZKCCZ
closed
6 months ago
0
Poor performance
#15
yashkhurana24
closed
9 months ago
1
How to draw a spatial correlation map of noise in Figure 2? Can you provide the relevant code? I have encountered some difficulties.
#14
mengchuangji
opened
1 year ago
1
1
#13
kaiq663
closed
1 year ago
0
Questions about loading data
#12
licheer-jian
closed
1 year ago
0
I wonder how “crop_size” matters？
#11
royaljava
opened
1 year ago
0
whe testing,only pd=2,why does it achieve good denoising performance?
#10
vfcerexwn
closed
1 year ago
0
Questions about the hardware configuration of the computer
#9
Mrhard1999
closed
1 year ago
5
about dataset
#8
nigezz
closed
2 years ago
0
Question about the noise correlation
#7
Wang-XIaoDingdd
closed
2 years ago
3
Normalization and preprocessing
#6
RuoyuGuo
closed
2 years ago
4
About model trained on SIDD Medium and inference on SIDD benchmark
#5
HW-VMCL
closed
2 years ago
2
About results on SIDD benchmark
#4
HW-VMCL
closed
2 years ago
1
About experiment results
#3
HW-VMCL
closed
2 years ago
3
about test dataset
#2
sunyclj
closed
2 years ago
1
Code related issues
#1
Arican-Lee
closed
2 years ago
4