HR-INR: Continuous Space-Time Video Super-Resolution via Event Camera

Understand

Continuous space-time video super-resolution (C-STVSR) aims to simultaneously enhance video resolution and frame rate at an arbitrary scale.

• Recently, implicit neural representation (INR) has been applied to video restoration, representing videos as implicit fields that can be decoded at an arbitrary scale.
• However, existing INR-based C-STVSR methods typically rely on only two frames as input, leading to insufficient inter-frame motion information.
• Consequently, they struggle to capture fast, complex motion and long-term dependencies (spanning more than three frames), hindering their performance in dynamic scenes.