Fast Generation of High Fidelity RGB-D Images by Deep-Learning with Adaptive Convolution

12 Feb 2020Chuhua XianDongjiu ZhangChengkai DaiCharlie C. L. Wang

Using the raw data from consumer-level RGB-D cameras as input, we propose a deep-learning based approach to efficiently generate RGB-D images with completed information in high resolution. To process the input images in low resolution with missing regions, new operators for adaptive convolution are introduced in our deep-learning network that consists of three cascaded modules -- the completion module, the refinement module and the super-resolution module... (read more)

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