OPHAvatars: One-shot Photo-realistic Head Avatars
원문 초록
We propose a method for synthesizing photo-realistic digital avatars from only one portrait as the reference. Given a portrait, our method synthesizes a coarse talking head video using driving keypoints features. And with the coarse video, our method synthesizes a coarse talking head avatar with a deforming neural radiance field. With rendered images of the coarse avatar, our method updates the low-quality images with a blind face restoration model. With updated images, we retrain the avatar for higher quality. After several iterations, our method can synthesize a photo-realistic animatable 3D neural head avatar. The motivation of our method is deformable neural radiance field can eliminate the unnatural distortion caused by the image2video method. Our method outperforms state-of-the-art methods in quantitative and qualitative studies on various subjects.
함께 살펴볼 논문
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AuthFace: Towards Authentic Blind Face Restoration with Face-oriented Generative Diffusion Prior
Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
3D Priors-Guided Diffusion for Blind Face Restoration
Efficient Diffusion Model for Image Restoration by Residual Shifting
토론
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