From be1f8b8a6de2b7abfc9e4b1967003ef17a12608c Mon Sep 17 00:00:00 2001 From: Jungtaek Kim Date: Fri, 22 Jan 2021 09:53:39 +0900 Subject: [PATCH] Update Combinatorial 3D Shape Dataset --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 6b83173..fa6d668 100644 --- a/README.md +++ b/README.md @@ -131,7 +131,7 @@ 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.

- +