Projects sharing features with EleGANt

This project is a PyTorch implementation of AnimeGANv2, a generative adversarial network and image-to-image translation model designed to transform real-world photographs into stylized anime imagery. The repository includes a model weight converter that enables the translation of checkpoints across different runtime environments. This utility performs weight key remapping and tensor dimension permutation to ensure compatibility between framework implementations. The system supports AI photo stylization through pre-trained weight loading and provides configurable upsampling alignment to maint

pytorch implementation of fast-neural-style

DeOldify is a deep learning system and a set of pre-trained computer vision models designed to apply realistic colors to grayscale photographs and video footage. It functions as a neural media restoration tool that uses trained networks to estimate original hues for black-and-white media and remove glitches and artifacts from aged images and film. The project employs a NoGAN colorization technique that removes the GAN discriminator during training to prevent artifacts and avoid over-saturation of pixels. For cinematic sequences, it applies temporal frame consistency to maintain color stabilit