Mitigating Artifacts in Real-World Video Super-Resolution Models

Understand

The recurrent structure is a prevalent framework for the task of video super-resolution, which models the temporal dependency between frames via hidden states.

• When applied to real-world scenarios with unknown and complex degradations, hidden states tend to contain unpleasant artifacts and propagate them to restored frames.
• In this circumstance, our analyses show that such artifacts can be largely alleviated when the hidden state is replaced with a cleaner counterpart.
• Based on the observations, we propose a Hidden State Attention (HSA) module to mitigate artifacts in real-world video super-resolution.