From b79b8c70f4be958a4a9deea079a0ebff07b5954b Mon Sep 17 00:00:00 2001 From: Jungtaek Kim Date: Fri, 22 Jan 2021 09:40:30 +0900 Subject: [PATCH] Add Combinatorial 3D Shape Dataset --- README.md | 6 ++++++ imgs/combinatorial_3d_shape_dataset.png | Bin 0 -> 997872 bytes 2 files changed, 6 insertions(+) create mode 100644 imgs/combinatorial_3d_shape_dataset.png diff --git a/README.md b/README.md index b9647b9..6b83173 100644 --- a/README.md +++ b/README.md @@ -128,6 +128,12 @@ This work introduce ScanObjectNN, a new real-world point cloud object dataset ba

+Combinatorial 3D Shape Dataset (2020) [[Link]](https://github.com/POSTECH-CVLab/Combinatorial-3D-Shape-Generation)[[Paper]](https://arxiv.org/abs/2004.07414) +
[Combinatorial 3D Shape Dataset](https://github.com/POSTECH-CVLab/Combinatorial-3D-Shape-Generation) is composed of 406 instances of 14 classes. Each object in our dataset is considered equivalent to a sequence of primitive placement. Compared to other 3D object datasets, our proposed dataset contains an assembling sequence of unit primitives. It implies that we can quickly obtain a sequential generation process that is a human assembling mechanism. Furthermore, we can sample valid random sequences from a given combinatorial shape after validating the sampled sequences. To sum up, the characteristics of our combinatorial 3D shape dataset are (i) combinatorial, (ii) sequential, (iii) decomposable, and (iv) manipulable. +

+ +

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