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. 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个视角图像，以及围绕10款日常家用物体生成的3D高斯溅射（3D Gaussian Splat）结果。所用物体均取自ModelNet10数据集。附件中包含通过Blender脚本生成的视角图像，以及各模型对应的优化后3D高斯点云；同时还附带了用于生成该视角的Blender场景文件与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研究成果。相关研究论文可通过该校学院的知识库https://repository.tudelft.nl在线获取，基于本数据集开发的公开代码可在https://github.com/SimiOy/Self-Supervised-Learning-for-3DGS处获得。