ESRGAN can be used in a variety of applications where high-resolution images are desired. For example, in the field of digital art and visual effects, this model can enhance the quality and detail of low-resolution images, improving the overall visual experience. In the medical field, ESRGAN can be used to enhance the resolution of medical images such as MRI scans or X-rays, aiding doctors and professionals in making accurate diagnoses. In the surveillance industry, this model can be applied to enhance the resolution of surveillance footage, improving the ability to identify individuals or objects. Additionally, ESRGAN can be used in the gaming industry to improve the graphics of low-resolution game assets, providing a more immersive and realistic gaming experience. Overall, ESRGAN has the potential to be integrated into various products and applications, ranging from image editing software to medical imaging systems, to enhance the quality and resolution of images.
- Cost per run
- Avg run time
- Nvidia T4 GPU
You can use this area to play around with demo applications that incorporate the Esrgan model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.
Currently, there are no demos available for this model.
Summary of this model and related resources.
Image 4x super-resolution
|Model Link||View on Replicate|
|API Spec||View on Replicate|
|Github Link||View on Github|
|Paper Link||View on Arxiv|
How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?
How much does it cost to run this model? How long, on average, does it take to complete a run?
|Cost per Run||$0.00495|
|Prediction Hardware||Nvidia T4 GPU|
|Average Completion Time||9 seconds|