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Attention all visual enthusiasts seeking high-definition images! The image processing world welcomes a powerful new contender: Thera, an open-source arbitrary scale super-resolution model. This cutting-edge model offers a user-friendly open-source approach to significantly improve image clarity. Thera not only restores blurry photos to their former glory but also provides unparalleled flexibility in scaling images, making it a boon for detail-oriented users and a nightmare for blurry image enthusiasts! Want to enlarge an image to any arbitrary size? Frustrated with fixed magnification factors? Thera offers a solution, eliminating these limitations.

Facing the direct impact of video quality on viewing experience, especially regarding the presentation of facial details, current methods such as simply applying super-resolution networks to face datasets or independently processing each frame often struggle to balance the detail of facial reconstruction with temporal consistency. To address this challenge, the research team at Nanyang Technological University has launched the innovative framework KEEP, which utilizes the principles of Kalman filtering to achieve a 'memory' capability in facial restoration, significantly enhancing the consistency and continuity of facial details during the restoration process. The KEEP framework consists of four key modules: Encoder, Decoder, Kalman.