Bringing Star Trek's Past into High-Definition Future
We’ve all felt that warp-speed excitement when we’re itching to revisit our favorite older TV series from the good old days. However, when we engage the viewscreen, we’re met with visuals that seem to have been transported straight from the Delta Quadrant—barely passing for standard definition in a galaxy where 4K reigns supreme. The older audience will recognize that I’m talking about Star Trek!
My project aims to enhance the visual quality of older Star Trek series, specifically those released in non-HD formats (480p). By utilizing an AI-Upscale Model trained on high-definition Star Trek series data, including The Next Generation, The Original Series, and Enterprise, I will enhance the appearance of older series such as Deep Space Nine and Voyager. This targeted selection of training data allows the model to achieve superior results compared to generic upscaling methods. Leveraging the similarities in film techniques and special effects across the Star Trek franchise, we aim to bridge the visual gap between past and present, ensuring that the legacy of Star Trek remains vibrant and captivating for fans old and new.
Using advanced AI-upscaling technology, we can transform the viewing experience of classic Star Trek episodes. My AI model, trained on high-definition footage from more recent Star Trek series, is tailored to understand and replicate the unique visual style of the Star Trek universe. This means that my upscaled episodes won’t just look sharper—they will retain the authentic feel and atmosphere that fans love.
Minor Game Design & Development
Minor Natuur, Mens en Technologie
Al student? Upload hier jouw eigen project!
Nog geen student? Schrijf je hier in!