Shypd.aiThe largest open index of AI toolsNTIRE2017 is an Open Source computer vision tool that provides a Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution." It offers pre-trained models and code for single image super-resolution, winning awards at the CVPR 2017 Workshop.
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NTIRE2017 is an open-source project offering a Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution." Developed by Team SNU_CVLab, it was recognized with the Best Paper Award at the CVPR 2017 Workshop (2nd NTIRE). The repository includes detailed model architectures (EDSR, MDSR), NTIRE2017 Super-resolution Challenge results, and demo and training code. Users can access trained models, information on datasets like DIV2K and Flickr2K, and super-resolution examples. The code is based on Facebook's Torch implementation of ResNet and also provides a PyTorch version for some models. It's designed for researchers and developers working on image restoration and enhancement, particularly in the field of single image super-resolution.
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