Extension of "Style Transfer by Relaxed Optimal Transport and Self-Similarity" to videos
-
Updated
Oct 24, 2020 - Python
Extension of "Style Transfer by Relaxed Optimal Transport and Self-Similarity" to videos
UX Wrapper for easier testing of "Consistent Video Style Transfer via Relaxation and Regularization"'s code for video style transfer
Official-implementation for "Universal Video Style Transfer via Crystallization, Separation, and Blending" [IJCAI 2022]
depth aware style transfer for video with multiple style inputs
PyTorch implementation of the fast neural style transfer paper 🏎💨🖌️🎨🧠
[ICCV 2023 Oral] "FateZero: Fusing Attentions for Zero-shot Text-based Video Editing"
[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer
TensorDeepArtify: Explore the TensorFlow implementation of Neural style transfer.
Official Pytorch implementation of CCPL and SCTNet (ECCV2022, Oral)
This is a project that will help you convert a video or image into a variety of styles
An Implementation of Ebsynth for video stylization, and the original ebsynth for image stylization as an importable python library!
Individual Final Year Project on Text-Driven Video Stylization. Please refer to the CapStone branch for more details
Add a description, image, and links to the video-style-transfer topic page so that developers can more easily learn about it.
To associate your repository with the video-style-transfer topic, visit your repo's landing page and select "manage topics."