End-to-end frame-recurrent video super-resolution reduces computational cost and improves consistency.
problem Efficiently super-resolving video frames while maintaining temporal consistency and reducing computational cost.
method Proposes an end-to-end trainable frame-recurrent video super-resolution framework that uses previous HR estimates to super-resolve subsequent frames.
result Significantly outperforms state-of-the-art methods in computational efficiency and temporal consistency.