Shypd.aiThe largest open index of AI toolsUpscale-A-Video is a Content & Design tool that upscales videos with temporal consistency. It uses a diffusion model and text prompts for real-world video super-resolution.
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Upscale-A-Video is an open-source, diffusion-based model designed for real-world video super-resolution, enhancing video quality with temporal consistency. Developed by S-Lab at Nanyang Technological University and presented at CVPR 2024, this tool takes low-resolution videos and text prompts as inputs to generate high-resolution outputs. It provides inference code for various video types, including AIGC videos, old movies, and animations. Users can also address color discrepancies with options like "AdaIn" or "Wavelet" color fixes. The project includes the YouHQ dataset, comprising over 38,000 videos for training and 40 for evaluation, making it a valuable resource for researchers and developers in the video processing domain.
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