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High-Fidelity Face Reenactment Model by ashishr is a document available to read on EtoBox.

What is High-Fidelity Face Reenactment Model about?

The document presents a novel framework called the Face Reenactment Video Diffusion model (FRVD) designed to enhance high-fidelity face reenactment under significant pose variations. It utilizes a motion extractor to derive implicit facial keypoints and a Warping Feature Mapper (WFM) to correct warping artifacts by mapping features into a motion-aware latent space of a pretrained image-to-video model. Experimental results demonstrate that FRVD outperforms existing methods in pose accuracy, identity preserva

Author

ashishr

Language

EN