This is the torch implementation of the Perspective Transformer Layer, which is built on top of the STN torch implementation.
To build the ptn libriary, run the following script.
luarocks make ptnbhwd-scm-1.rockspec
require 'ptn'
nn.PerspectiveGridGenerator(depth, height, width, focal_length)
-- takes B x 4 x 4 affine transform matrices as input,
-- outputs a depth x height x width grid in normalized [dmin,dmax] x [-1,1] x [-1,1] coordinates, where dmin and dmax represent the minimal and maximal disparity.
nn.BilinearSamplerPerspective()
-- takes a table {inputImages, grids} as inputs
-- outputs the interpolated images according to the grids
-- inputImages is a batch of samples in BHWD layout
-- grids is a batch of grids (output of PerspectiveGridGenerator)
-- output is also BHWDIf you find this useful, please cite our work as follows:
@incollection{NIPS2016_6206,
title = {Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision},
author = {Yan, Xinchen and Yang, Jimei and Yumer, Ersin and Guo, Yijie and Lee, Honglak},
booktitle = {Advances in Neural Information Processing Systems 29},
editor = {D. D. Lee and M. Sugiyama and U. V. Luxburg and I. Guyon and R. Garnett},
pages = {1696--1704},
year = {2016},
publisher = {Curran Associates, Inc.},
url = {http://papers.nips.cc/paper/6206-perspective-transformer-nets-learning-single-view-3d-object-reconstruction-without-3d-supervision.pdf}
}
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