BSRGANx2_fp16

BSRGANx2_fp16 is an ONNX export of a BSRGAN-based super-resolution model for 2× image upscaling.

Model Description

This repository provides a float16 ONNX version of a BSRGAN super-resolution model intended for deployment in ONNX Runtime based applications and custom upscaling pipelines.

File

BSRGANx2_fp16.onnx

Intended Use

This model is intended for:

2× image upscaling
video frame enhancement
ONNX Runtime inference workflows
integration into desktop and batch processing pipelines

Input / Output

Input: low-resolution image tensor prepared by the host application
Output: 2× upscaled image

Exact preprocessing, color handling, and tensor formatting depend on the application using the model.

Usage Notes

Designed for ONNX Runtime
FP16 export for improved performance on supported hardware
Can be used with CUDA, TensorRT, DirectML, or CPU execution providers depending on environment support

Source / Attribution

This repository contains an ONNX-packaged version of a BSRGAN-based super-resolution model.

The original BSRGAN project and its upstream licensing are associated with the cszn/BSRGAN repository.

Limitations

GAN-based upscaling may introduce hallucinated or stylized detail
Output quality depends on source resolution, compression, and host pipeline implementation
Not intended for measurement-accurate reconstruction or scientific imaging use

License

Apache License 2.0

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