Tengfei-Wang/HFGI
A high-fidelity GAN inversion framework for editing image attributes while preserving details like background, appearance, and illumination.

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This repository implements a CVPR 2022 paper that introduces a novel approach to invert real images into the latent space of pretrained GAN models, enabling attribute editing with image-specific details preserved. The framework includes inference code, pretrained models, and training code. Users can run experiments via provided Jupyter notebooks or local environments.