SIFU

A method for reconstructing a 3D virtual person from lateral images

CommonProductImagepythonComputer Vision
SIFU is a method for reconstructing high-quality 3D virtual human models from lateral images. Its core innovation lies in proposing a new implicit function based on lateral images, which enhances feature extraction and improves geometric accuracy. Additionally, SIFU introduces a 3D consistent texture optimization process that significantly enhances texture quality and enables texture editing through a text-to-image diffusion model. SIFU excels in handling complex poses and loose clothing, making it an ideal solution for practical applications.
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