Image-guided Neural Object Rendering

ICLR 2020 Justus ThiesMichael ZollhöferChristian TheobaltMarc StammingerMatthias Nießner

We propose a learned image-guided rendering technique that combines the benefits of image-based rendering and GAN-based image synthesis. The goal of our method is to generate photo-realistic re-renderings of reconstructed objects for virtual and augmented reality applications (e.g., virtual showrooms, virtual tours and sightseeing, the digital inspection of historical artifacts)... (read more)

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