{"id":29591926,"url":"https://github.com/kozistr/esrgan-tensorflow","last_synced_at":"2025-09-17T23:18:27.888Z","repository":{"id":93731405,"uuid":"176871371","full_name":"kozistr/ESRGAN-tensorflow","owner":"kozistr","description":"Enhanced SRGAN. 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Clone this github repo.\n```\ngit clone https://github.com/kozistr/ESRGAN-tensorflow\ncd ESRGAN-tensorflow\n```\n\n2. install required packages (if needed)\n```\n# with pip\npython -m pip install -r requirements.txt\n\n# with conda\nconda install --yes --file requirements.txt\n```\n\n3. run scripts!\n\nFor training,\n\n```python3 train.py```\n\nFor evaluation,\n\n```python3 evaluate.py```\n\nFor inference,\n\n```python3 inference.py --src test-lr.png --dst test-hr.png```\n\n# Results\n\n# Citation\n\n```\n@InProceedings{wang2018esrgan,\n    author = {Wang, Xintao and Yu, Ke and Wu, Shixiang and Gu, Jinjin and Liu, Yihao and Dong, Chao and Qiao, Yu and Loy, Chen Change},\n    title = {ESRGAN: Enhanced super-resolution generative adversarial networks},\n    booktitle = {The European Conference on Computer Vision Workshops (ECCVW)},\n    month = {September},\n    year = {2018}\n}\n```\n\n# Author\nHyeongChan kim / [kozistr](http://kozistr.tech)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkozistr%2Fesrgan-tensorflow","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkozistr%2Fesrgan-tensorflow","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkozistr%2Fesrgan-tensorflow/lists"}