Bharat Lal Bhatnagar (PhD Student)

MSc Bharat Lal Bhatnagar

Max-Planck-Institut für Informatik
Saarland Informatics Campus
Campus E1 4
66123 Saarbrücken
E1 4 - 628
+49 681 9325 2028
+49 681 9325 2099


Multi-Garment Net: Learning to Dress 3D People from Images
B. L. Bhatnagar, G. Tiwari, C. Theobalt and G. Pons-Moll
ICCV 2019, International Conference on Computer Vision, 2019
(arXiv: 1908.06903, Accepted/in press)
We present Multi-Garment Network (MGN), a method to predict body shape and clothing, layered on top of the SMPL model from a few frames (1-8) of a video. Several experiments demonstrate that this representation allows higher level of control when compared to single mesh or voxel representations of shape. Our model allows to predict garment geometry, relate it to the body shape, and transfer it to new body shapes and poses. To train MGN, we leverage a digital wardrobe containing 712 digital garments in correspondence, obtained with a novel method to register a set of clothing templates to a dataset of real 3D scans of people in different clothing and poses. Garments from the digital wardrobe, or predicted by MGN, can be used to dress any body shape in arbitrary poses. We will make publicly available the digital wardrobe, the MGN model, and code to dress SMPL with the garments.
Learning to Reconstruct People in Clothing from a Single RGB Camera
T. Alldieck, M. A. Magnor, B. L. Bhatnagar, C. Theobalt and G. Pons-Moll
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), 2019