• Article Name: Deep Fourier-based Arbitrary-scale Super-resolution for Real-time Rendering

• Topic: Implementing and analysing a deep learning framework that enables arbitrary-scale super-resolution for real-time rendering using Fourier-based implicit neural representations. This method allows rendering frames super-resolved to any scale with a single trained model, providing high-quality results in real-time with minimal artefacts.

• Year: 2024

• Link: https://github.com/iamxym/Deep-Fourier-based-Arbitrary-scale-Super-resolution-for-Real-time-Rendering

• YouTube Presentation: https://www.youtube.com/watch?v=AkegnIRF_S4

• Students: Gad Azriel & Adar Budomski