semchan/NLUT
code for NLUT: Neural-based 3D Lookup Tables for Video Photorealistic Style Transfer
This project helps video editors and content creators quickly apply artistic styles from one image or video to another video, achieving a photorealistic look. You provide a source video and a style image or video, and it outputs a new video with the chosen style applied. It's designed for professionals who need high-quality, fast style transfer for large video files.
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Use this if you need to rapidly transfer a specific photorealistic style to video content, even for high-resolution 8K footage, with professional quality.
Not ideal if you need a solution for static images only, or if you prefer a 'no-setup', click-and-run tool without any fine-tuning.
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Language
Python
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Last pushed
Jul 18, 2023
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