Analog Video Restoration
7 papers with code • 1 benchmarks • 1 datasets
Restoration of analog videos exhibiting artifacts that are peculiar to digitized analog videotapes such as tape mistracking, VHS edge waving, chroma loss, tape noise etc..
TAPE
Most implemented papers
BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment
open-mmlab/mmediting
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CVPR 2022
We show that by empowering the recurrent framework with the enhanced propagation and alignment, one can exploit spatiotemporal information across misaligned video frames more effectively.
Recurrent Video Restoration Transformer with Guided Deformable Attention
Specifically, RVRT divides the video into multiple clips and uses the previously inferred clip feature to estimate the subsequent clip feature.
Reference-based Restoration of Digitized Analog Videotapes
miccunifi/tape
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We design a transformer-based Swin-UNet network that exploits both neighboring and reference frames via our Multi-Reference Spatial Feature Fusion (MRSFF) blocks.
Memory-Augmented Non-Local Attention for Video Super-Resolution
jiy173/MANA
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CVPR 2022
Those methods achieve limited performance as they suffer from the challenge in spatial frame alignment and the lack of useful information from similar LR neighbor frames.
Bringing Old Films Back to Life
raywzy/bringing-old-films-back-to-life
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CVPR 2022
We present a learning-based framework, recurrent transformer network (RTN), to restore heavily degraded old films.
Multi-Scale Memory-Based Video Deblurring
jibo27/memdeblur
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CVPR 2022
Video deblurring has achieved remarkable progress thanks to the success of deep neural networks.
Restoration of Analog Videos Using Swin-UNet
miccunifi/analog-video-restoration
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In this paper, we present a system to restore analog videos of historical archives.
