Overview This master’s thesis explores the application of diffusion models to the problem of video super-resolution (VSR), a task that aims to reconstruct high-resolution video frames from low-resolution inputs. The study is situated within the broader context of deep learning advancements, particularly the recent success of diffusion models in image generation and restoration.