Adobe’s VideoGigaGAN is a new AI tools that can upscale blurry videos into HD or better resolution. It’s basically a generative video super-resolution (VSR) model that builds upon GigaGAN, a large-scale image upsampler, capable of producing videos with high-frequency details and temporal consistency.
Ensuring temporal consistency required the researchers to first inflate the image upsampler into a video upsampler by adding temporal attention layers into the decoder blocks. Consistency was also enhanced by integrating the features from the flow-guided propagation module. An anti-aliasing block in the downsampling layers of the encoder was utilized to suppress aliasing artifacts.
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VideoGigaGAN generates temporally consistent videos with more fine-grained appearance details. We validate the effectiveness of VideoGigaGAN by comparing it with state-of-the-art VSR models on public datasets and showcasing video results with 8× super-resolution,” said the researchers.
