NeuralQAAD: An Efficient Differentiable Framework for Compressing High Resolution Consistent Point Clouds Datasets - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

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]

This author has not been identified. Look up 'Nicolas Wagner' in GoogleThis author has not been identified. Look up 'Ulrich Schwanecke' in Google

runs on WebDSL