DisCO: Portrait Distortion Correction with Perspective-Aware 3D GANs

• URL: http://arxiv.org/abs/2302.12253v3
• Date: Fri, 8 Dec 2023 14:00:15 GMT
• Title: DisCO: Portrait Distortion Correction with Perspective-Aware 3D GANs
• Authors: Zhixiang Wang, Yu-Lun Liu, Jia-Bin Huang, Shin'ichi Satoh, Sizhuo Ma, Gurunandan Krishnan, Jian Wang
• Abstract summary: Close-up facial images captured at short distances often suffer from perspective distortion. We propose a simple yet effective method for correcting perspective distortions in a single close-up face.
• Score: 24.483597004603812
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Close-up facial images captured at short distances often suffer from perspective distortion, resulting in exaggerated facial features and unnatural/unattractive appearances. We propose a simple yet effective method for correcting perspective distortions in a single close-up face. We first perform GAN inversion using a perspective-distorted input facial image by jointly optimizing the camera intrinsic/extrinsic parameters and face latent code. To address the ambiguity of joint optimization, we develop starting from a short distance, optimization scheduling, reparametrizations, and geometric regularization. Re-rendering the portrait at a proper focal length and camera distance effectively corrects perspective distortions and produces more natural-looking results. Our experiments show that our method compares favorably against previous approaches qualitatively and quantitatively. We showcase numerous examples validating the applicability of our method on in-the-wild portrait photos. We will release our code and the evaluation protocol to facilitate future work.

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