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• W3193449330 abstract "The current paper presents an adversarial autoencoding strategy for voxelized point cloud geometry based on the principles of distributed source coding. The encoder characterizes the input voxel blocks with an array of hash bytes while the decoder combines them with side information blocks in order to reconstruct the original data. The reconstruction process is optimized by classifying the reconstructed block with an adversarial discriminator in order to make the recovered data as close as possible to an original block. Experimental results show that the proposed solution generalizes well while obtaining better coding performance with respect to other state-of-the-art solutions and allowing high flexibility in rate shaping and decoding operations." @default.
• W3193449330 created "2021-08-30" @default.
• W3193449330 creator A5054051365 @default.
• W3193449330 date "2021-09-19" @default.
• W3193449330 modified "2023-09-27" @default.
• W3193449330 title "ADAE: Adversarial Distributed Source Autoencoder For Point Cloud Compression" @default.
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• W3193449330 doi "https://doi.org/10.1109/icip42928.2021.9506750" @default.
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