QuickSRNetLarge-Quantized
Upscale images and remove image noise.
QuickSRNet Large is designed for upscaling images on mobile platforms to sharpen in real-time.
Technical Details
Model checkpoint:quicksrnet_large_3x_checkpoint
Input resolution:128x128
Number of parameters:424K
Model size:449 KB
Applicable Scenarios
- Virtual Real Estate Tours
- Gaming
- ARVR
Supported Form Factors
- Phone
- Tablet
Licenses
Source Model:OTHER
Deployable Model:AI Model Hub License
Tags
- quantizedA “quantized” model can run in low or mixed precision, which can substantially reduce inference latency.
Supported Devices
- Google Pixel 3
- Google Pixel 3a
- Google Pixel 3a XL
- Google Pixel 4
- Google Pixel 4a
- Google Pixel 5a 5G
- QCS6490 (Proxy)
- QCS8250 (Proxy)
- QCS8550 (Proxy)
- RB3 Gen 2 (Proxy)
- RB5 (Proxy)
- SA8255 (Proxy)
- SA8650 (Proxy)
- SA8775 (Proxy)
- Samsung Galaxy S21
- Samsung Galaxy S21 Ultra
- Samsung Galaxy S21+
- Samsung Galaxy S22 5G
- Samsung Galaxy S22 Ultra 5G
- Samsung Galaxy S22+ 5G
- Samsung Galaxy S23
- Samsung Galaxy S23 Ultra
- Samsung Galaxy S23+
- Samsung Galaxy S24
- Samsung Galaxy S24 Ultra
- Samsung Galaxy S24+
- Samsung Galaxy Tab S8
- Xiaomi 12
- Xiaomi 12 Pro
Supported Chipsets
- Qualcomm® QCS6490
- Qualcomm® QCS8250
- Qualcomm® QCS8550
- Qualcomm® SA8255P
- Qualcomm® SA8650P
- Qualcomm® SA8775P
- Snapdragon® 8 Gen 1 Mobile
- Snapdragon® 8 Gen 2 Mobile
- Snapdragon® 8 Gen 3 Mobile
- Snapdragon® 888 Mobile
- Snapdragon® X Elite