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
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
