Thera Image Upscaler is an image enhancement method that converts low-quality, blurry or pixelated images into high-resolution, sharp and detailed visuals. It uses neural heat fields, a novel neural field formulation that models a physically exact point spread function, to perform aliasing-free arbitrary-scale super-resolution, so images are upscaled with minimal artifacts and maximum clarity.
The tool works by dividing an image into smaller local heat fields, enhancing each section individually and then seamlessly reassembling them to produce a crisp and realistic final image. A hypernetwork estimates the parameters of these local fields, and the field architecture automatically attenuates frequencies as a function of the scaling factor, guaranteeing correct anti-aliasing at any output resolution at no additional cost. It supports various backbone models such as EDSR and RDN, and comes in three variants (Air, Plus and Pro) so users can trade off speed against quality.
Thera recovers fine details that are often lost in low-resolution images, making it useful for photography, digital art restoration and content creation, including extreme cases such as severely pixelated images, architectural photos and landscapes. It is available through an online demo and local installation, and its open-source release encourages adoption and customization by hobbyists and professional image editors alike.
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