

SIFU
Overview :
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.
Target Users :
["Virtual Fitting","Virtual Socializing","Digital Avatar","Meta-universe Scenarios"]
Use Cases
Reconstructs high-quality 3D virtual people from a single lateral image
Accurately simulates complex clothing
Ready for direct use in 3D printing
Used for animation and digital entertainment content creation
Features
Applicable for Virtual Scene Creation
Supports 3D Printing
Enables Texture Editing
Usable for Animation Production
Supports Outdoor Scene Reconstruction
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