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NeuralTO: Neural Reconstruction and View Synthesis of Translucent Objects

DescriptionWe introduce a novel, two-stages framework, which is geared toward high-fidelity surface reconstruction and the novel-view synthesis of translucent objects. In our framework, we propose a theoretical model for the neural radiance field of translucent objects, which parametrizes the density field using a constant extinction coefficient.

Authors

OPPO US Research Center