Structured 3D Features for Reconstructing Controllable Avatars
Enric Corona, Mihai Zanfir, Thiemo Alldieck, Eduard Gabriel Bazavan, Andrei Zanfir, Cristian Sminchisescu
Abstract
New clothing View synthesis and 3D editing Figure 1. We introduce Structured 3D Features (S3F), a new feature representation for monocular 3D Human Reconstruction. Using S3Fs, we train a new implicit reconstruction model for creating rigged and relightable avatars -without the need for post-processing. S3Fs store features in a dense 3D point cloud around a human body model, allowing for various applications: our model can produce 3D reconstructions in novel poses, under new illumination, under novel views, or with altered clothing for virtual try-on.
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