# DAVIDSTUTZ

Check out our CVPR'18 paper on weakly-supervised 3D shape completion — and let me know your opinion! @david_stutz
13thMARCH2018

Although the above descriptions do not go into detail (see the paper for the corresponding definitions), it is interesting that Tulsiani et al. predict a maximum set of $M$ cuboids by predicting the parameters of each cuboid and a rotation matrix as well as a translation vector. In addition, the network predicts a score for each cuboid indicating how probable the cuboid is to be part of the abstraction.