VDTR: Video Deblurring with Transformer

Understand

Video deblurring is still an unsolved problem due to the challenging spatio-temporal modeling process.

• While existing convolutional neural network-based methods show a limited capacity for effective spatial and temporal modeling for video deblurring.
• This paper presents VDTR, an effective Transformer-based model that makes the first attempt to adapt Transformer for video deblurring.
• VDTR exploits the superior long-range and relation modeling capabilities of Transformer for both spatial and temporal modeling.