xuxy09/RSC-Net
Implementation for "3D human pose, shape and texture from low-resolution images and videos", TPAMI 2021
This project helps researchers and animators create detailed 3D models of human pose, shape, and even texture from low-resolution images or videos. You feed it a standard image or video of a person, and it outputs a complete 3D digital human model. This is ideal for professionals in computer vision, animation, or virtual reality who need to reconstruct human forms from challenging visual data.
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Use this if you need to accurately capture 3D human characteristics, including body shape and surface details, from visual content where the person appears small or blurry.
Not ideal if your primary goal is simple 2D pose estimation or if you only have high-resolution, perfectly clear images to work with.
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51
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5
Language
Python
License
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Last pushed
Jun 19, 2025
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