---
license: apache-2.0
pipeline_tag: image-to-image
library_name: onnxruntime
tags:
  - onnx
  - super-resolution
  - upscaling
  - bsrgan
  - image-processing
---

# BSRGANx2_fp16

BSRGANx4_fp16 is an ONNX export of a BSRGAN-based super-resolution model for 4× 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

- `BSRGANx4_fp16.onnx`

## Intended Use

This model is intended for:

- 4× 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: 4× 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