FeaTok: Feature-Loss Tokenization for Image Generation
FeaTok introduces a new discrete image tokenizer called FeaTok that learns tokens by reconstructing pretrained visual features instead of raw pixels. This method focuses on making token distributions easy for generators to model, leading to superior generative performance across various models. It significantly improves image quality at lower computational costs compared to existing methods.