NeRD++: Improved 3D-mirror symmetry learning from a single image. (arXiv:2112.12579v2 [cs.CV] UPDATED)

Many objects are naturally symmetric, and this symmetry can be exploited to
infer unseen 3D properties from a single 2D image. Recently, NeRD is proposed
for accurate 3D mirror plane estimation from a single image. Despite the
unprecedented accuracy, it relies on large annotated datasets for training and
suffers from slow inference. Here we aim to improve its data and compute
efficiency. We do away with the computationally expensive 4D feature volumes
and instead explicitly compute the feature correlation of …

arxiv image nerd symmetry