Core Concepts
WaveFace proposes a frequency-based approach for authentic face restoration, achieving efficiency and identity preservation.
Abstract
WaveFace introduces a novel method for face restoration by leveraging frequency components, achieving authenticity and efficiency. The article discusses the challenges in blind face restoration, the proposed methodology, experimental results, and comparisons with state-of-the-art methods. Key highlights include the use of wavelet transformation for decomposition, the Low-frequency Conditional Denoising module, and the High-Frequency Recovery module. Results show superior performance in authenticity and efficiency compared to existing methods.
Stats
WaveFaceは、既存の拡散モデルに比べて10倍高速な効率で本物の画像を復元します。
低周波条件付き除去モジュールは、元の画像の一般情報を回復します。
高周波リカバリーモジュールは、複雑な顔の詳細を1ステップで回復します。
WaveFaceは、状態-of-the-art方法を凌駕する認証性と効率性を実現します。
Quotes
"Our WaveFace achieves a good balance of realness and fidelity with fewer artifacts."
"Evaluations on four benchmark datasets show that WaveFace outperforms state-of-the-art methods in authenticity."
"The contributions can be summarized as follows: We propose an efficient blind face restoration approach, WaveFace."