Pose2RGBD. Generating Depth and RGB images from absolute positions

14 Jul 2020Mihai Cristian Pîrvu

We propose a method at the intersection of Computer Vision and Computer Graphics fields, which automatically generates RGBD images using neural networks, based on previously seen and synchronized video, depth and pose signals. Since the models must be able to reconstruct both texture (RGB) and structure (Depth), it creates an implicit representation of the scene, as opposed to explicit ones, such as meshes or point clouds... (read more)

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