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Found 6 papers, 4 papers with code
SelfRecon: Self Reconstruction Your Digital Avatar from Monocular Video
Meanwhile, the explicit mesh is updated periodically to adjust its topology changes, and a consistency loss is designed to match both representations.
StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Vision
In this paper, we propose StereoPIFu, which integrates the geometric constraints of stereo vision with implicit function representation of PIFu, to recover the 3D shape of the clothed human from a pair of low-cost rectified images.
BCNet: Learning Body and Cloth Shape from A Single Image
In this paper, we consider the problem to automatically reconstruct garment and body shapes from a single near-front view RGB image.
Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network
Human bodies exhibit various shapes for different identities or poses, but the body shape has certain similarities in structure and thus can be embedded in a low-dimensional space.
Deep Face Feature for Face Alignment
The deep face feature (DFF) is trained using correspondence between face images rendered from different views.
CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images
With the powerfulness of convolution neural networks (CNN), CNN based face reconstruction has recently shown promising performance in reconstructing detailed face shape from 2D face images.
