Researchers have developed SMPL-GPTexture, a pipeline that uses text-to-image generation models to create paired front and back images of human subjects for 3D avatar textures, addressing the scarcity of real image pairs due to privacy and ethical concerns. This method enhances photorealism by accurately mapping colors from input images onto UV coordinates and filling in missing regions with a diffusion-based module, benefiting developers seeking realistic 3D character models.
Read the full article at arXiv cs.CV (Vision)
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