Improving Video Colorization by Test-Time Tuning
Author:
Affiliation:
1. The University of Hong Kong,Pokfulam,Hong Kong SAR
2. University of Rochester,USA
Funder
University of Hong Kong
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10221937/10221892/10222579.pdf?arnumber=10222579
Reference21 articles.
1. Deep Animation Video Interpolation in the Wild
2. Cross-camera human motion transfer by time series analysis;zhao;preprint arXiv 2109 14174,2021
3. Reference-based deep line art video colorization;shi;IEEE Transactions on Visualization and Computer Graphics,2022
4. EFENet: Reference-Based Video Super-Resolution with Enhanced Flow Estimation
5. NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better
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