4 papers - avg viability 7.0
A novel diffusion-based video compression method that achieves state-of-the-art perceptual quality and temporal consistency at ultra-low bitrates by sparsely encoding temporal information.
This research introduces an efficient neural video compression method by replacing dense convolutions with low-rank approximations, significantly reducing computational cost and model size with minimal quality loss.
A novel video compression framework using Mamba modules and geometric transformations for improved perceptual quality and temporal consistency, outperforming existing methods at low bitrates.
ProGVC is a novel video compression framework that combines progressive transmission and efficient entropy coding for enhanced perceptual quality at low bitrates.