https://www.amazon.science/publications/reduced-complexity-multiscale-cnn-for-in-loop-video-restoration
Reduced complexity multiscale CNN for in-loop video restoration - Amazon Science
Convolutional neural networks (CNNs) have shown promising improvements in video coding efficiency when included in traditional block-based codecs as a loop...
in loopvideo restorationreducedcomplexitymultiscale
https://openreview.net/forum?id=xe1YeVs5s5S&referrer=%5Bthe%20profile%20of%20Minglang%20Qiao%5D(%2Fprofile%3Fid%3D~Minglang_Qiao2)
Progressive Training of A Two-Stage Framework for Video Restoration | OpenReview
As a widely studied task, video restoration aims to enhance the quality of the videos with multiple potential degradations, such as noises, blurs and...
progressive trainingtwo stagefor video
https://www.amazon.science/publications/temporal-consistent-video-restoration-with-pre-trained-diffusion-models
Temporal-consistent video restoration with pre-trained diffusion models - Amazon Science
Video restoration (VR) aims to recover high-quality videos from degraded ones. Although recent zero-shot VR methods using pre-trained diffusion models (DMs)...
video restorationdiffusion modelstemporalconsistent
https://carleton.ca/environmentalscience/2016/354/
Underwater video shows Brewer Park pond restoration paying off - Environmental Science Program
Feb 26, 2025 - http://www.cbc.ca/news/canada/ottawa/underwater-video-shows-brewer-park-pond-restoration-paying-off-1.3816380
brewer park pondunderwater video