ONNX
PyTorch
English
RyzenAI
super resolution
SISR
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  ## Model description
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  SESR is based on linear overparameterization of CNNs and creates an efficient model architecture for SISR. It was introduced in the paper [Collapsible Linear Blocks for Super-Efficient Super Resolution](https://arxiv.org/abs/2103.09404).
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  The official code for this work is available at
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- https://github.com/ARM-software/sesr
 
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  We develop a modified version that could be supported by [AMD Ryzen AI](https://onnxruntime.ai/docs/execution-providers/Vitis-AI-ExecutionProvider.html).
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  ## Model description
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  SESR is based on linear overparameterization of CNNs and creates an efficient model architecture for SISR. It was introduced in the paper [Collapsible Linear Blocks for Super-Efficient Super Resolution](https://arxiv.org/abs/2103.09404).
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  The official code for this work is available at
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+ https://github.com/ARM-software/sesr.
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+
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  We develop a modified version that could be supported by [AMD Ryzen AI](https://onnxruntime.ai/docs/execution-providers/Vitis-AI-ExecutionProvider.html).
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