DWT-FFC and NTIRE-2021-Dehazing-DWGAN
These two tools are competitors, representing different state-of-the-art dehazing solutions that won the same challenge in different years (2021 and 2023), each offering a distinct architecture (DWT-FFC versus DW-GAN) for the task.
Maintenance
6/25
Adoption
8/25
Maturity
16/25
Community
10/25
Maintenance
0/25
Adoption
8/25
Maturity
16/25
Community
14/25
Stars: 50
Forks: 5
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 66
Forks: 9
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
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No Dependents
Stale 6m
No Package
No Dependents
About DWT-FFC
zhouh115/DWT-FFC
Official PyTorch implementation of dehazing method based on FFC and ConvNeXt, 1st place solution of NTIRE 2023 HR NonHomogeneous Dehazing Challenge (CVPR Workshop 2023).
About NTIRE-2021-Dehazing-DWGAN
liuh127/NTIRE-2021-Dehazing-DWGAN
Official PyTorch implementation of DW-GAN, 1st place solution of NTIRE 2021 NonHomogeneous Dehazing Challenge (CVPR Workshop 2021).
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