1 code implementation • 16 Jun 2022 • Saiping Zhang, Luis Herranz, Marta Mrak, Marc Gorriz Blanch, Shuai Wan, Fuzheng Yang
In this paper we propose a generative adversarial network (GAN) framework to enhance the perceptual quality of compressed videos.
no code implementations • 13 May 2022 • Issa Khalifeh, Marc Gorriz Blanch, Ebroul Izquierdo, Marta Mrak
Despite all the benefits interpolation methods offer, many of these networks require a lot of parameters, with more parameters meaning a heavier computational burden.
no code implementations • 22 Jan 2022 • Saiping Zhang, Luis Herranz, Marta Mrak, Marc Gorriz Blanch, Shuai Wan, Fuzheng Yang
Deformable convolutions can operate on multiple frames, thus leveraging more temporal information, which is beneficial for enhancing the perceptual quality of compressed videos.
no code implementations • 26 May 2021 • Luka Murn, Marc Gorriz Blanch, Maria Santamaria, Fiona Rivera, Marta Mrak
Machine learning techniques for more efficient video compression and video enhancement have been developed thanks to breakthroughs in deep learning.
1 code implementation • 4 May 2021 • Marc Gorriz Blanch, Issa Khalifeh, Alan Smeaton, Noel O'Connor, Marta Mrak
Stylised outputs are then obtained by computing similarities between both feature representations in order to transfer the style of the reference to the content of the target input.