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Found 6 papers, 0 papers with code
WordRobe: Text-Guided Generation of Textured 3D Garments
We achieve this by first learning a latent representation of 3D garments using a novel coarse-to-fine training strategy and a loss for latent disentanglement, promoting better latent interpolation.
Dress-Me-Up: A Dataset & Method for Self-Supervised 3D Garment Retargeting
We propose a novel self-supervised framework for retargeting non-parameterized 3D garments onto 3D human avatars of arbitrary shapes and poses, enabling 3D virtual try-on (VTON).
xCloth: Extracting Template-free Textured 3D Clothes from a Monocular Image
Existing approaches for 3D garment reconstruction either assume a predefined template for the garment geometry (restricting them to fixed clothing styles) or yield vertex colored meshes (lacking high-frequency textural details).
SHARP: Shape-Aware Reconstruction of People in Loose Clothing
The parametric body prior enforces geometrical consistency on the body shape and pose, while the non-parametric representation models loose clothing and handle self-occlusions as well.
Robust 3D Garment Digitization from Monocular 2D Images for 3D Virtual Try-On Systems
Subsequently, we use these landmarks to perform Thin-Plate-Spline-based texture transfer on UV map panels.
Reconstruction of People in Loose Clothing
3D human body reconstruction from monocular images is an interesting and ill-posed problem in computer vision with wider applications in multiple domains.
