Tech Papers 2023: This paper provides a technical overview of state-of-the-art deep learning models for video super-resolution (SR) enhancement, such as PSNR-oriented methods, Generative Adversarial Networks (GANs), Transformer Models, Flow Models, and Diffusion Models, and compares their performance and computational complexity for use in cloud-based UHD broadcast up-conversion.
Abstract
High production costs have been a key factor in delaying a widespread deployment of UHD broadcast offerings. Only a few special events tend to be produced and broadcast on UHD, with most of the true 4K content coming from streaming providers such as Netflix, Amazon Video or Disney+, and even on those cases, content availability is still significantly more limited than for their non-4K assets. As a result, the potential of UHD displays is ...
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