  Inspired by the recent advance of image-based object reconstruction using
deep learning, we present an active reconstruction model using a guided view
planner. We aim to reconstruct a 3D model using images observed from a planned
sequence of informative and discriminative views. But where are such
informative and discriminative views around an object? To address this we
propose a unified model for view planning and object reconstruction, which is
utilized to learn a guided information acquisition model and to aggregate
information from a sequence of images for reconstruction. Experiments show that
our model (1) increases our reconstruction accuracy with an increasing number
of views (2) and generally predicts a more informative sequence of views for
object reconstruction compared to other alternative methods.
