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  • title: Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
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            Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
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            Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations

            Dec 11, 2019

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            Vincent Sitzmann

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            Unsupervised learning with generative models has the potential of discovering rich representations of 3D scenes. While geometric deep learning has explored 3D-structure-aware representations of scene geometry, these models typically require explicit 3D supervision. Emerging neural scene representations can be trained only with posed 2D images, but existing methods ignore the three-dimensional structure of scenes. We propose Scene Representation Networks (SRNs), a continuous, 3D-structure-aware s…

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            NIPS 2019

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            Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting.

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