CREStereo: Optimized for Qualcomm Devices

CREStereo (Cascaded Recurrent Network with Adaptive Correlation) is a CVPR 2022 Oral paper that achieves state-of-the-art stereo matching accuracy.

This is based on the implementation of CREStereo 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	ONNX Runtime 1.24.3	Download
QNN_DLC	float	Universal	QAIRT 2.45	Download
TFLITE	float	Universal		Download

For more device-specific assets and performance metrics, visit CREStereo 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 CREStereo on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.depth_estimation

Model Stats:

• Model checkpoint: CREStereo ETH3D pretrained (crestereo_eth3d.pt)
• Input: Rectified stereo pair — left and right RGB images
• Input resolution: 240x320
• Output: Disparity map
• Number of parameters: 5.43M
• Model size (float): 20.7 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
CREStereo	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	3885.046 ms	76 - 97 MB	CPU
CREStereo	ONNX	float	Snapdragon® 8 Elite Mobile	4065.807 ms	63 - 86 MB	CPU
CREStereo	ONNX	float	Snapdragon® X2 Elite	1996.124 ms	185 - 185 MB	CPU
CREStereo	ONNX	float	Snapdragon® X Elite	5407.067 ms	180 - 180 MB	CPU
CREStereo	ONNX	float	Snapdragon® X Elite	5407.067 ms	180 - 180 MB	CPU
CREStereo	ONNX	float	Snapdragon® 8 Gen 3 Mobile	4685.376 ms	62 - 82 MB	CPU
CREStereo	ONNX	float	Qualcomm® QCS8550 (Proxy)	5776.319 ms	66 - 69 MB	CPU
CREStereo	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	4065.807 ms	63 - 86 MB	CPU
CREStereo	ONNX	float	Qualcomm® QCS9075	3982.804 ms	94 - 97 MB	CPU
CREStereo	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	2867.442 ms	67 - 158 MB	CPU
CREStereo	QNN_DLC	float	Snapdragon® 8 Elite Mobile	3490.878 ms	131 - 224 MB	CPU
CREStereo	QNN_DLC	float	Snapdragon® X2 Elite	2839.029 ms	84 - 84 MB	CPU
CREStereo	QNN_DLC	float	Snapdragon® X Elite	11167.572 ms	85 - 85 MB	CPU
CREStereo	QNN_DLC	float	Snapdragon® X Elite	11167.572 ms	85 - 85 MB	CPU
CREStereo	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	4919.73 ms	118 - 210 MB	CPU
CREStereo	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	6010.51 ms	128 - 156 MB	CPU
CREStereo	QNN_DLC	float	Qualcomm® SA8775P	6702.173 ms	128 - 213 MB	CPU
CREStereo	QNN_DLC	float	Qualcomm® SA8775P	6702.173 ms	128 - 213 MB	CPU
CREStereo	QNN_DLC	float	Qualcomm® SA8775P	6702.173 ms	128 - 213 MB	CPU
CREStereo	QNN_DLC	float	Qualcomm® SA7255P	10862.181 ms	130 - 216 MB	CPU
CREStereo	QNN_DLC	float	Qualcomm® SA8295P	5629.931 ms	130 - 217 MB	CPU
CREStereo	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	3490.878 ms	131 - 224 MB	CPU
CREStereo	QNN_DLC	float	Qualcomm® QCS9075	7768.436 ms	309 - 1211 MB	CPU
CREStereo	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	8226.521 ms	140 - 235 MB	CPU
CREStereo	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	2707.927 ms	46 - 73 MB	CPU
CREStereo	TFLITE	float	Snapdragon® 8 Elite Mobile	2871.556 ms	47 - 74 MB	CPU
CREStereo	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	4291.132 ms	47 - 78 MB	CPU
CREStereo	TFLITE	float	Qualcomm® QCS8550 (Proxy)	5070.01 ms	47 - 59 MB	CPU
CREStereo	TFLITE	float	Qualcomm® SA8775P	5629.087 ms	48 - 73 MB	CPU
CREStereo	TFLITE	float	Qualcomm® SA8775P	5629.087 ms	48 - 73 MB	CPU
CREStereo	TFLITE	float	Qualcomm® SA8775P	5629.087 ms	48 - 73 MB	CPU
CREStereo	TFLITE	float	Qualcomm® SA7255P	7647.493 ms	48 - 72 MB	CPU
CREStereo	TFLITE	float	Qualcomm® SA8295P	3673.911 ms	47 - 72 MB	CPU
CREStereo	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	2871.556 ms	47 - 74 MB	CPU
CREStereo	TFLITE	float	Qualcomm® QCS9075	5737.104 ms	47 - 153 MB	CPU
CREStereo	TFLITE	float	Qualcomm® QCS8450 (Proxy)	6604.064 ms	47 - 79 MB	CPU

License

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

References

• Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation
• Source Model Implementation

Community

• Join our AI Hub Slack community to collaborate, post questions and learn more about on-device AI.
• For questions or feedback please reach out to us.