CodeFormer - Shangchen Zhou Thanks to the expressive codebook prior and global modeling, CodeFormer outperforms the state-of-the-arts in both quality and fidelity, showing superior robustness to degradation Extensive experimental results on synthetic and real-world datasets verify the effectiveness of our method
CodeFormer | Free AI Tool on SomeAI. org CodeFormer is an AI-powered image editing tool designed to enhance and restore old photos, particularly those containing faces It leverages advanced algorithms to improve the quality of damaged or degraded images, making them look sharper and more vibrant
Towards Robust Blind Face Restoration with Codebook Lookup Transformer In this paper, we demonstrate that a learned discrete codebook prior in a small proxy space largely reduces the uncertainty and ambiguity of restoration mapping by casting blind face restoration as a code prediction task, while providing rich visual atoms for generating high-quality faces