From the 3 of 3 linked papers with an AI index.
3 citations · 3 across the 3 of their papers we have counts for
3 papers
FSFVE: Few Shot Compressed Face Video Enhancement
Varun Ramesh Jois, Antonella DiLillo, James Storer
The paper introduces a framework that can train a model from as few as 10 face frames to enhance highly compressed video‑call streams in real time on low‑compute devices.
RTFVE: Realtime Face Video Enhancement
Varun Ramesh Jois, Antonella DiLillo, James Storer
The paper introduces RTFVE, a real‑time face video enhancement model that can be integrated with any video decoder and runs on ordinary CPUs, improving perceptual quality of low‑bi…
Reference-Based Face Super-Resolution Using the Spatial Transformer
Varun Ramesh Jois, Antonella DiLillo, James Storer
The paper introduces a reference-based face super-resolution method that leverages high‑resolution reference images and a spatial transformer alignment module to improve detail rec…