In this project, several unsupervised domain adaptation methods were applied to the task of single view 3D reconstruction, including MMD, Deep CORAL, and DANN. The source domain is ShapeNet which is synthetic, while the target domain is OOWL which is in the real domain (I helped design OOWL, see here for more details). Overall, we found that our proposed DANN with a multitask learning voxel classification branch led to the best results. For details, please refer to the paper.
Leung, B., Singh, S., & Horodniceanu, A. (2020). Domain adaptation for real-world single view 3d reconstruction. ArXiv:2108.10972 [Cs]. http://arxiv.org/abs/2108.10972