Deep Fashion3D
Introduced by Zhu et al. in Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images
A novel benchmark and dataset for the evaluation of image-based garment reconstruction systems. Deep Fashion3D contains 2078 models reconstructed from real garments, which covers 10 different categories and 563 garment instances. It provides rich annotations including 3D feature lines, 3D body pose and the corresponded multi-view real images. In addition, each garment is randomly posed to enhance the variety of real clothing deformations.
Source: Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single ImagesPapers
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