[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer
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Updated
Oct 25, 2023 - Jupyter Notebook
[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer
[ICCV 2023 Oral] "FateZero: Fusing Attentions for Zero-shot Text-based Video Editing"
[ECCV 2022 Oral] Official Pytorch implementation of CCPL and SCTNet
Transfer the style of your video. Use on ClarityAI.co
PyTorch implementation of the fast neural style transfer paper 🏎💨🖌️🎨🧠
[IJCAI 2022 poster] PyTorch Implementation of "Universal Video Style Transfer via Crystallization, Separation, and Blending"
Extension of "Style Transfer by Relaxed Optimal Transport and Self-Similarity" to videos
This is a project that will help you convert a video or image into a variety of styles
depth aware style transfer for video with multiple style inputs
Individual Final Year Project on Text-Driven Video Stylization. Please refer to the CapStone branch for more details
A Python module implementing "CAP-VSTNet: Content Affinity Preserved Versatile Style Transfer" that allows for modular implementation of style transfer as an image augmentation in deep learning pipelines, with a fully Pytorch-based framework for image and video training and inference.
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