Corpus ID: 53783711

IGNOR: Image-guided Neural Object Rendering

@article{Thies2018IGNORIN,
  title={IGNOR: Image-guided Neural Object Rendering},
  author={Justus Thies and M. Zollh{\"o}fer and C. Theobalt and M. Stamminger and Matthias Nie{\ss}ner},
  journal={ArXiv},
  year={2018},
  volume={abs/1811.10720}
}
We propose a new learning-based novel view synthesis approach for scanned objects that is trained based on a set of multi-view images. [...] Key Method First, we employ a coverage-based nearest neighbour look-up to retrieve a set of reference frames that are explicitly warped to a given target view using cross-projection. Our network then learns to best composite the warped images. This enables us to generate photo-realistic results, while not having to allocate capacity on `remembering' object appearance…Expand
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