2023
Learning Data-Driven Vector-Quantized Degradation Model for Animation Video Super-Resolution
ICCV 2023poster
Existing real-world video super-resolution (VSR) methods focus on designing a general degradation pipeline for open-domain videos while ignoring data intrinsic characteristics which strongly limit their performance when applying to some specific domains (e.g., animation videos). In this paper, we th…