1 مستودع
Applying generative AI models to each frame of a video sequence to transform its style.
Distinct from Video Frame Processing: Distinct from general video frame processing as it specifically involves generative synthesis for stylization rather than low-level GPU adjustments.
Explore 1 awesome GitHub repository matching graphics & multimedia · Generative Frame Synthesis. Refine with filters or upvote what's useful.
AnimeGANv2 is a generative adversarial network training framework and image stylization tool designed to convert real-world photographs and videos into anime-style imagery. It functions as an anime style generator that transforms real-world scenes into animation through supervised style transfer. The project provides a system for training style models and extracting specific generator weight parameters from deep learning checkpoints to create lightweight models for inference. It focuses on landscape image stylization and the ability to mimic specific artistic styles from provided datasets. T
Processes videos by applying generative image-to-image translation to each individual frame.