Thera is an advanced super-resolution technology that can generate high-quality images at different scales. Its main advantage is that it has built-in physical observation model, which effectively avoids aliasing. Developed by the research team at ETH Zurich, the technology is suitable for image enhancement and computer vision, especially in remote sensing and photogrammetry.
Demand population:
"The product is suitable for researchers and developers who need high-quality image enhancement, especially in the fields of remote sensing, computer vision and photogrammetry. They can use Thera 's advanced technology to improve the clarity and detail performance of images."
Example of usage scenarios:
Apply in remote sensing images to improve the accuracy of land object recognition.
Used in digital image processing software to improve the quality of photos taken by users.
Provide high-resolution images for photogrammetry, improving map production and geographic analysis.
Product Features:
Supports image super-resolution at any scale
Built-in physical observation model to avoid aliasing
A variety of pre-trained models are available for selection
Supports NVIDIA GPU acceleration in Linux environments
Can be run through a simple command line interface
Supports model evaluation and training
Tutorials for use:
Make sure to install Python 3.10 and NVIDIA GPUs.
Download the required pretrained model file.
Use pip to install the required dependencies.
Run a super-resolution script from the command line to specify input and output files.
Run the evaluation script to test model performance.