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Unsupervised Shape Completion via Deep Prior in the Neural Tangent Kernel Perspective
SessionTechnical Papers
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Technical Paper
Research & Education
Virtual
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DescriptionThe paper presents the connection between deep image prior and neural tangent kernel and, based on the connection, proposes an effective neural network for partial 3D shape completion, which requires no extra training data other than the partial shape itself.
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