Cross-modal images and 3D Gaussian Splats dataset for 10 household objects

A dataset consisting of 64 views and the resulting 3D Gaussian Splat taken around 10 household objects. The objects used correspond to the ModelNet10 dataset. The attached files contain the generated images using a Blender script, and the optimized 3D Gaussian point clouds for each model. The Blender scene, and python script used to generate the views are also attached.<br>This dataset was generated as part of the Bachelor Thesis project at TU Delft. The associated paper can be digitally accessed through the faculty's repository: https://repository.tudelft.nl, and the published code using this dataset can be found at: https://github.com/SimiOy/Self-Supervised-Learning-for-3DGS.

本数据集包含64组视角图像，以及围绕10款日常家居物体生成的3D高斯溅射（3D Gaussian Splat）结果。本次使用的物体均属于ModelNet10数据集。附件包含通过Blender脚本生成的视角图像，以及针对每个模型优化后的3D高斯点云。此外还附带了Blender场景文件与用于生成视角的Python脚本。
本数据集为代尔夫特理工大学（TU Delft）本科毕业论文项目的一部分。相关研究论文可通过该校学院的数字仓库访问：https://repository.tudelft.nl；使用本数据集的已公开代码可在以下地址获取：https://github.com/SimiOy/Self-Supervised-Learning-for-3DGS。