Fine-Scale Face Fitting and Texture Fusion With Inverse Renderer

Yang Liu, Yangyu Fan, Zhe Guo, Anam Zaman, Shiya Liu

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2 引用 (Scopus)

摘要

3D face reconstruction from a single image still suffers from low accuracy and inability to recover textures in invisible regions. In this paper, we propose a method for generating a 3D portrait with complete texture. The coarse face-and-head model and texture parameters are obtained using 3D Morphable Model fitting. We design an image-geometric inverse renderer that acquires normal, albedo, and light to jointly reconstruct the facial details. Then, we use a texture fusion network to extract the valid texture from rendered faces employing different viewpoints. Specifically, this fused texture recovers the invisible region of the input face, which illustrates the realistic surface of our 3D geometric model. Our approach faithfully reconstructs the original face details, including the profiles and the head region. Extensive experiments are performed to demonstrate that our method outperforms state-of-the-art techniques in various challenging scenarios.

源语言英语
页(从-至)26-30
页数5
期刊IEEE Signal Processing Letters
30
DOI
出版状态已出版 - 2023

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