NeuralQAAD: An Efficient Differentiable Framework for High Resolution Point Cloud Compression

15 December 2020

Papers citing "NeuralQAAD: An Efficient Differentiable Framework for High Resolution Point Cloud Compression"

3 / 3 papers shown

Title
3D-CODED : 3D Correspondences by Deep Deformation Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DPC 3DV 132 325 0 13 Jun 2018
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 152 769 0 30 Mar 2018
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 189 1,941 0 24 Oct 2016