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Работы, на которые ссылается эта работа
Работ: 43
Работа: Learning Graph-Convolutional Representations for Point Cloud Denoising
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Kai Zhang, Wangmeng Zuo, Yunjin Chen +2
Статья2017Цитирований: 6ABIGeometric Deep Learning: Going beyond Euclidean data
Michael M. Bronstein, Joan Bruna, Yann LeCun +2
Статья2017Цитирований: 5ABIShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang, Thomas Funkhouser, Leonidas Guibas +10
Другое2023Цитирований: 3ABIDynamic Graph CNN for Learning on Point Clouds
Yue Wang, Yongbin Sun, Ziwei Liu +3
Статья2019Цитирований: 3ABINon-local recurrent network for image restoration
Ding Liu, Bihan Wen, Yuchen Fan +2
Статья2018Цитирований: 3ABIEstimating differential quantities using polynomial fitting of osculating jets
Статья2004Цитирований: 2ABIPointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Raffaelli Charles, Hao Su, Kaichun Mo +1
Статья2017Цитирований: 2ABIMeshLab: an Open-Source Mesh Processing Tool
Paolo Cignoni, Marco Callieri, Massimiliano Corsini +3
Статья2008Цитирований: 2ABIDynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
Martin Simonovsky, Nikos Komodakis
Препринт2017Цитирований: 2ABI