PentaquarkΘ+production viaγN→K¯*Θ+(3/2±)

Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision Supplementary Materials

Similar to the spatial transformer network introduced in [1], we propose a 2-step procedure: (1) performing dense sampling from input volume (in 3D world coordinates) to output volume (in screen coordinates), and (2) flattening the 3D spatial output across disparity dimension. In the experiment, we assume that transformation matrix is always given as input, parametrized by the viewpoint α. Agai...