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by Le Hui, Rui Xu, Jin Xie, Jianjun Qian, and Jian Yang, details are in paper.
This repository is the official implementation of paper: "Unsupervised Point Cloud Pre-training via Occlusion Completion"
Created by Itai Lang, Asaf Manor, and Shai Avidan from Tel Aviv University.
NVAE is a deep hierarchical variational autoencoder that enables training SOTA likelihood-based generative models on several image datasets.
The main features of nvlabs/nvae are: 3D Shape Analysis.
Open-source alternatives to nvlabs/nvae include: fpthink/pdgn — by Le Hui, Rui Xu, Jin Xie, Jianjun Qian, and Jian Yang, details are in paper. hansen7/occo — This repository is the official implementation of paper: "Unsupervised Point Cloud Pre-training via Occlusion… itailang/samplenet — Created by Itai Lang, Asaf Manor, and Shai Avidan from Tel Aviv University. lorenmt/shape-adaptor — This repository contains the source code to support the paper: Shape Adaptor: A Learnable Resizing Module, by Shikun… luost26/dmrdenoise — [Project Page] [Paper] [Code]. a2zadeh/variational-autodecoder.