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Normalized Avatar Synthesis Using StyleGAN and Perceptual Refinement
Cutting-edge 3D face reconstruction methods use non-linear morphable face models combined with GAN-based decoders to capture the likeness and details of a person but fail to produce neutral head models with unshaded albedo textures which is critical for creating relightable and animation-friendly avatars for integration in virtual environments.
Mask-off: Synthesizing Face Images in the Presence of Head-mounted Displays
The main purpose of this paper is to synthesize realistic face images without occlusions based on the images captured by these cameras.
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