How to generate super resolution images using TensorFlow Lite on Android

Posted by Wei Wei, TensorFlow Developer Advocate

and and generate super resolution images using TensorFlow Lite in an Android app. The final app looks like below and the complete code has been released in

First, we can conveniently load the ESRGAN model from and fixing the input image dimensions to 50x50. The converted model has been uploaded to for more information.

Once the model is converted, we can quickly verify that the ESRGAN TFLite model does generate a much better image than bicubic interpolation. We also have another LR: low resolution input image cropped from an butterfly image in or other languages to build Android apps. In this blog we will use (the core library and the GPU library). To set up the Android build correctly, the first thing we need to do is download the AAR files and extract the header files and shared libraries. Have a look at how this is done in the to build the app (NDK r20 is confirmed to work), we need to let Android Studio know how native files should be handled. This is done in documentation. We first need to carefully

There you have it. A reference Android app using TFLite to generate super resolution images on device. More details can be found in the or on Twitter with hashtags #TFLite and #PoweredByTF. To report bugs and issues, please reach out to us on for uploading the ESRGAN model to TFHub, and Tian Lin and Jared Duke for the helpful feedback.

[1] Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi. 2016. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network.

[2] Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Chen Change Loy, Yu Qiao, Xiaoou Tang. 2018. ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks.

[3]

[5] Eirikur Agustsson, Radu Timofte. 2017. NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study.