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GitHub / cuiziteng / Illumination-Adaptive-Transformer

🌕 [BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-processing.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cuiziteng%2FIllumination-Adaptive-Transformer

Stars: 513
Forks: 49
Open issues: 16

License: apache-2.0
Language: Python
Size: 29.4 MB
Dependencies parsed at: Pending

Created at: over 3 years ago
Updated at: 21 days ago
Pushed at: about 1 year ago
Last synced at: 13 days ago

Topics: bmvc, exposure-correction, image-enhancement, image-reconstruction, image-restoration, low-level-vision, low-light-enhance, low-light-image-enhancement, pytorch, transformer-architecture, transformer-models

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