NeuralQAAD: An Efficient Differentiable Framework for Compressing High Resolution Consistent Point Clouds Datasets

Nicolas Wagner, Ulrich Schwanecke. NeuralQAAD: An Efficient Differentiable Framework for Compressing High Resolution Consistent Point Clouds Datasets. In Giovanni Maria Farinella, Petia Radeva, Kadi Bouatouch, editors, Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2022, Volume 4: VISAPP, Online Streaming, February 6-8, 2022. pages 811-822, SCITEPRESS, 2022. [doi]

Abstract

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