Hugging Face's logo

qualcomm
/
DnCNN

Image-to-Image
PyTorch
real_time
android
Model card Files
xet
 Community
DnCNN / README.md
qaihm-bot's picture
qaihm-bot
v0.60.0
e040d1e verified
preview code
|
Raw
History Blame Contribute Delete
12.8 kB
metadata 
library_name: pytorch
license: other
tags:
  - real_time
  - android
pipeline_tag: image-to-image

DnCNN: Optimized for Qualcomm Devices

DnCNN is a 17-layer denoising convolutional neural network that uses residual learning to remove Gaussian noise (sigma=25) from grayscale images. The network predicts the noise residual and subtracts it from the input to produce a clean image.

This is based on the implementation of DnCNN found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.

Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up to run these models on a hosted Qualcomm® device.

Getting Started

There are two ways to deploy this model on your device:

Option 1: Download Pre-Exported Models

Below are pre-exported model assets ready for deployment.

Runtime Precision Chipset SDK Versions Download
ONNX float Universal QAIRT 2.45, ONNX Runtime 1.27.1 Download
ONNX w8a8 Universal QAIRT 2.45, ONNX Runtime 1.27.1 Download
QNN_DLC float Universal QAIRT 2.45 Download
QNN_DLC w8a8 Universal QAIRT 2.45 Download
TFLITE float Universal QAIRT 2.45 Download
TFLITE w8a8 Universal QAIRT 2.45 Download

For more device-specific assets and performance metrics, visit DnCNN on Qualcomm® AI Hub.

Option 2: Export with Custom Configurations

Use the Qualcomm® AI Hub Models Python library to compile and export the model with your own:

  • Custom weights (e.g., fine-tuned checkpoints)
  • Custom input shapes
  • Target device and runtime configurations

This option is ideal if you need to customize the model beyond the default configuration provided here.

See our repository for DnCNN on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.image_editing

Model Stats:

  • Input resolution: 256x256
  • Model checkpoint: dncnn_25
  • Model size (float): 2.12 MB
  • Model size (w8a8): 581 KB
  • Number of parameters: 555K

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
DnCNN ONNX float Snapdragon® X2 Elite 4.043 ms 1 - 1 MB NPU
DnCNN ONNX float Snapdragon® X Elite 7.136 ms 0 - 0 MB NPU
DnCNN ONNX float Snapdragon® 8 Gen 3 Mobile 5.185 ms 19 - 195 MB NPU
DnCNN ONNX float Snapdragon® 8 Gen 1 Mobile 13.757 ms 1 - 179 MB NPU
DnCNN ONNX float Qualcomm® Dragonwing™ IQ-8275 16.317 ms 1 - 4 MB NPU
DnCNN ONNX float Qualcomm® Dragonwing™ QCS8550 (Proxy) 6.874 ms 1 - 3 MB NPU
DnCNN ONNX float Qualcomm® QCS8450 13.757 ms 1 - 179 MB NPU
DnCNN ONNX float Qualcomm® Dragonwing™ IQ-9075 14.202 ms 1 - 4 MB NPU
DnCNN ONNX float Qualcomm® Dragonwing™ IQ-X7181 7.136 ms 0 - 0 MB NPU
DnCNN ONNX float Qualcomm® Dragonwing™ Q-8750 4.126 ms 0 - 142 MB NPU
DnCNN ONNX float Snapdragon® 8 Elite Mobile 4.126 ms 0 - 142 MB NPU
DnCNN ONNX float Snapdragon® 8 Elite Gen 5 Mobile 3.197 ms 0 - 146 MB NPU
DnCNN ONNX w8a8 Snapdragon® X2 Elite 1.043 ms 1 - 1 MB NPU
DnCNN ONNX w8a8 Snapdragon® X Elite 1.873 ms 0 - 0 MB NPU
DnCNN ONNX w8a8 Snapdragon® 8 Gen 3 Mobile 1.336 ms 0 - 47 MB NPU
DnCNN ONNX w8a8 Snapdragon® 8 Gen 1 Mobile 2.371 ms 0 - 52 MB NPU
DnCNN ONNX w8a8 Qualcomm® Dragonwing™ QCS6490 9.5 ms 0 - 3 MB NPU
DnCNN ONNX w8a8 Qualcomm® Dragonwing™ IQ-8275 2.205 ms 0 - 4 MB NPU
DnCNN ONNX w8a8 Qualcomm® Dragonwing™ QCS8550 (Proxy) 1.788 ms 0 - 2 MB NPU
DnCNN ONNX w8a8 Qualcomm® QCS8450 2.371 ms 0 - 52 MB NPU
DnCNN ONNX w8a8 Qualcomm® Dragonwing™ IQ-9075 1.898 ms 0 - 3 MB NPU
DnCNN ONNX w8a8 Qualcomm® Dragonwing™ IQ-X7181 1.873 ms 0 - 0 MB NPU
DnCNN ONNX w8a8 Qualcomm® Dragonwing™ Q-6690 39.004 ms 2 - 145 MB NPU
DnCNN ONNX w8a8 Qualcomm® Dragonwing™ Q-7790 3.262 ms 0 - 144 MB NPU
DnCNN ONNX w8a8 Qualcomm® Dragonwing™ Q-8750 1.209 ms 0 - 31 MB NPU
DnCNN ONNX w8a8 Snapdragon® 8 Elite Mobile 1.209 ms 0 - 31 MB NPU
DnCNN ONNX w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.812 ms 0 - 32 MB NPU
DnCNN ONNX w8a8 Snapdragon® 7 Gen 4 Mobile 3.262 ms 0 - 144 MB NPU
DnCNN QNN_DLC float Snapdragon® X2 Elite 4.166 ms 0 - 0 MB NPU
DnCNN QNN_DLC float Snapdragon® X Elite 7.217 ms 0 - 0 MB NPU
DnCNN QNN_DLC float Snapdragon® 8 Gen 3 Mobile 5.085 ms 0 - 173 MB NPU
DnCNN QNN_DLC float Snapdragon® 8 Gen 1 Mobile 13.451 ms 0 - 177 MB NPU
DnCNN QNN_DLC float Qualcomm® Dragonwing™ IQ-8275 15.809 ms 0 - 3 MB NPU
DnCNN QNN_DLC float Qualcomm® Dragonwing™ IQ-8275 55.992 ms 0 - 141 MB NPU
DnCNN QNN_DLC float Qualcomm® Dragonwing™ QCS8550 (Proxy) 6.729 ms 0 - 2 MB NPU
DnCNN QNN_DLC float Qualcomm® SA8775P 13.869 ms 0 - 144 MB NPU
DnCNN QNN_DLC float Qualcomm® SA8650P 13.869 ms 0 - 144 MB NPU
DnCNN QNN_DLC float Qualcomm® SA8255P 13.869 ms 0 - 144 MB NPU
DnCNN QNN_DLC float Qualcomm® QCS8450 13.451 ms 0 - 177 MB NPU
DnCNN QNN_DLC float Qualcomm® Dragonwing™ IQ-9075 13.982 ms 0 - 2 MB NPU
DnCNN QNN_DLC float Qualcomm® Dragonwing™ IQ-X7181 7.217 ms 0 - 0 MB NPU
DnCNN QNN_DLC float Qualcomm® Dragonwing™ Q-8750 4.037 ms 0 - 141 MB NPU
DnCNN QNN_DLC float Qualcomm® SA7255P 55.992 ms 0 - 141 MB NPU
DnCNN QNN_DLC float Qualcomm® SA8295P 15.313 ms 0 - 139 MB NPU
DnCNN QNN_DLC float Snapdragon® 8 Elite Mobile 4.037 ms 0 - 141 MB NPU
DnCNN QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 3.05 ms 0 - 149 MB NPU
DnCNN QNN_DLC w8a8 Snapdragon® X2 Elite 1.176 ms 0 - 0 MB NPU
DnCNN QNN_DLC w8a8 Snapdragon® X Elite 2.007 ms 0 - 0 MB NPU
DnCNN QNN_DLC w8a8 Snapdragon® 8 Gen 3 Mobile 1.323 ms 0 - 46 MB NPU
DnCNN QNN_DLC w8a8 Snapdragon® 8 Gen 1 Mobile 2.514 ms 0 - 51 MB NPU
DnCNN QNN_DLC w8a8 Qualcomm® Dragonwing™ QCS6490 9.419 ms 0 - 2 MB NPU
DnCNN QNN_DLC w8a8 Qualcomm® Dragonwing™ IQ-8275 2.183 ms 0 - 2 MB NPU
DnCNN QNN_DLC w8a8 Qualcomm® Dragonwing™ IQ-8275 7.581 ms 0 - 28 MB NPU
DnCNN QNN_DLC w8a8 Qualcomm® Dragonwing™ QCS8550 (Proxy) 1.777 ms 0 - 3 MB NPU
DnCNN QNN_DLC w8a8 Qualcomm® SA8775P 1.999 ms 0 - 30 MB NPU
DnCNN QNN_DLC w8a8 Qualcomm® SA8650P 1.999 ms 0 - 30 MB NPU
DnCNN QNN_DLC w8a8 Qualcomm® SA8255P 1.999 ms 0 - 30 MB NPU
DnCNN QNN_DLC w8a8 Qualcomm® QCS8450 2.514 ms 0 - 51 MB NPU
DnCNN QNN_DLC w8a8 Qualcomm® Dragonwing™ IQ-9075 2.02 ms 2 - 4 MB NPU
DnCNN QNN_DLC w8a8 Qualcomm® Dragonwing™ IQ-X7181 2.007 ms 0 - 0 MB NPU
DnCNN QNN_DLC w8a8 Qualcomm® Dragonwing™ Q-6690 38.849 ms 0 - 140 MB NPU
DnCNN QNN_DLC w8a8 Qualcomm® Dragonwing™ Q-7790 3.256 ms 0 - 140 MB NPU
DnCNN QNN_DLC w8a8 Qualcomm® Dragonwing™ Q-8750 1.221 ms 0 - 28 MB NPU
DnCNN QNN_DLC w8a8 Qualcomm® SA7255P 7.581 ms 0 - 28 MB NPU
DnCNN QNN_DLC w8a8 Qualcomm® SA8295P 4.226 ms 0 - 26 MB NPU
DnCNN QNN_DLC w8a8 Snapdragon® 8 Elite Mobile 1.221 ms 0 - 28 MB NPU
DnCNN QNN_DLC w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.805 ms 0 - 28 MB NPU
DnCNN QNN_DLC w8a8 Snapdragon® 7 Gen 4 Mobile 3.256 ms 0 - 140 MB NPU
DnCNN TFLITE float Snapdragon® 8 Gen 3 Mobile 5.2 ms 0 - 179 MB NPU
DnCNN TFLITE float Snapdragon® 8 Gen 1 Mobile 14.005 ms 0 - 180 MB NPU
DnCNN TFLITE float Qualcomm® Dragonwing™ IQ-8275 16.242 ms 0 - 5 MB NPU
DnCNN TFLITE float Qualcomm® Dragonwing™ IQ-8275 56.39 ms 0 - 142 MB NPU
DnCNN TFLITE float Qualcomm® Dragonwing™ QCS8550 (Proxy) 6.928 ms 0 - 2 MB NPU
DnCNN TFLITE float Qualcomm® SA8775P 14.161 ms 0 - 144 MB NPU
DnCNN TFLITE float Qualcomm® SA8650P 14.161 ms 0 - 144 MB NPU
DnCNN TFLITE float Qualcomm® SA8255P 14.161 ms 0 - 144 MB NPU
DnCNN TFLITE float Qualcomm® QCS8450 14.005 ms 0 - 180 MB NPU
DnCNN TFLITE float Qualcomm® Dragonwing™ IQ-9075 14.318 ms 0 - 4 MB NPU
DnCNN TFLITE float Qualcomm® Dragonwing™ Q-8750 4.163 ms 0 - 147 MB NPU
DnCNN TFLITE float Qualcomm® SA7255P 56.39 ms 0 - 142 MB NPU
DnCNN TFLITE float Qualcomm® SA8295P 15.612 ms 0 - 141 MB NPU
DnCNN TFLITE float Snapdragon® 8 Elite Mobile 4.163 ms 0 - 147 MB NPU
DnCNN TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 3.173 ms 0 - 146 MB NPU
DnCNN TFLITE w8a8 Snapdragon® 8 Gen 3 Mobile 1.302 ms 0 - 47 MB NPU
DnCNN TFLITE w8a8 Snapdragon® 8 Gen 1 Mobile 2.343 ms 0 - 52 MB NPU
DnCNN TFLITE w8a8 Qualcomm® Dragonwing™ QCS6490 9.451 ms 0 - 3 MB NPU
DnCNN TFLITE w8a8 Qualcomm® Dragonwing™ IQ-8275 2.14 ms 0 - 3 MB NPU
DnCNN TFLITE w8a8 Qualcomm® Dragonwing™ IQ-8275 7.522 ms 0 - 29 MB NPU
DnCNN TFLITE w8a8 Qualcomm® Dragonwing™ QCS8550 (Proxy) 1.711 ms 0 - 72 MB NPU
DnCNN TFLITE w8a8 Qualcomm® SA8775P 1.98 ms 0 - 30 MB NPU
DnCNN TFLITE w8a8 Qualcomm® SA8650P 1.98 ms 0 - 30 MB NPU
DnCNN TFLITE w8a8 Qualcomm® SA8255P 1.98 ms 0 - 30 MB NPU
DnCNN TFLITE w8a8 Qualcomm® QCS8450 2.343 ms 0 - 52 MB NPU
DnCNN TFLITE w8a8 Qualcomm® Dragonwing™ IQ-9075 1.819 ms 0 - 3 MB NPU
DnCNN TFLITE w8a8 Qualcomm® Dragonwing™ Q-6690 38.909 ms 0 - 141 MB NPU
DnCNN TFLITE w8a8 Qualcomm® Dragonwing™ Q-7790 3.215 ms 0 - 141 MB NPU
DnCNN TFLITE w8a8 Qualcomm® Dragonwing™ Q-8750 1.19 ms 0 - 30 MB NPU
DnCNN TFLITE w8a8 Qualcomm® SA7255P 7.522 ms 0 - 29 MB NPU
DnCNN TFLITE w8a8 Qualcomm® SA8295P 4.183 ms 0 - 26 MB NPU
DnCNN TFLITE w8a8 Snapdragon® 8 Elite Mobile 1.19 ms 0 - 30 MB NPU
DnCNN TFLITE w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.771 ms 0 - 30 MB NPU
DnCNN TFLITE w8a8 Snapdragon® 7 Gen 4 Mobile 3.215 ms 0 - 141 MB NPU

License

  • The license for the original implementation of DnCNN can be found here.

References

Community