Present a topic in class.
3D DATASETS - RGB-D http://www.michaelfirman.co.uk/RGBDdatasets/ - General https://github.com/timzhang642/3D-Machine-Learning REPRESENTATIONS & METHODS - Image-based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era https://arxiv.org/abs/1906.06543 - (https://github.com/timzhang642/3D-Machine-Learning) SINGLE VIEW - How do neural networks see depth in single images? https://arxiv.org/abs/1905.07005 - What Do Single-view 3D Reconstruction Networks Learn? https://arxiv.org/abs/1905.03678 RAY NET - RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials. https://github.com/paschalidoud/raynet OCCUPANCY NET - Occupancy Networks: Learning 3D Reconstruction in Function Space https://github.com/autonomousvision/occupancy_networks PIX2VEX - Pix2Vex: Image-to-Geometry Reconstruction using a Smooth Differentiable Renderer https://arxiv.org/abs/1903.11149