https://github.com/bytedance/rlfn

Winner of runtime track in NTIRE 2022 challenge on Efficient Super-Resolution

https://github.com/bytedance/rlfn

Science Score: 10.0%

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    Links to: arxiv.org
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    Low similarity (6.6%) to scientific vocabulary

Keywords

lightweight ntire22challenge research super-resolution
Last synced: 5 months ago · JSON representation

Repository

Winner of runtime track in NTIRE 2022 challenge on Efficient Super-Resolution

Basic Info
  • Host: GitHub
  • Owner: bytedance
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 37.1 MB
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  • Stars: 161
  • Watchers: 2
  • Forks: 22
  • Open Issues: 7
  • Releases: 0
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lightweight ntire22challenge research super-resolution
Created over 3 years ago · Last pushed over 3 years ago
Metadata Files
Readme License

README.md

Residual Local Feature Network

Our team (ByteESR) won the first place in Runtime Track (Main Track) and the second place in Overall Performance Track (Sub-Track 2) of NTIRE 2022 Efficient Super-Resolution Challenge.

| model | Runtime[ms] | Params[M] | Flops[G] | Acts[M] | GPU Mem[M] | | :----: | :----: | :----: | :----: | :----: | :----: | | RLFN_ntire | 27.11 | 0.317 | 19.70 | 80.05 | 377.91 |

Open-Source

For commercial reasons, we don't release training code temporarily, please refer to EDSR framework and our paper for details. - [x] Paper of our method [arXiv] - [x] Report of our performance [NTIRE22 official report] - [x] The pretrained model and test code in challenge.

Testing

We modified the official test code. To reproduce our result in the ESR challenge, please install PyTorch >= 1.5.0.

run python test_demo.py to generate image results.
All test results will be saved in the folder data/DIV2K_test_LR_results

Owner

  • Name: Bytedance Inc.
  • Login: bytedance
  • Kind: organization
  • Location: Singapore

GitHub Events

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