基于多视角简约线条图的三维物体建模生成数据

采集或使用特定算法获得多视角简约线条图数据，利用深度生成模型进行训练，算法可以根据多视角线条图生成三维物体模型。这一数据适用于三维建模、3D打印、虚拟现实和增强现实等领域，用户能够通过生成的三维物体模型实现更逼真的三维显示和交互，解决单视角线条图因为特征模糊和信息缺失无法生成完整三维模型的问题。 编辑多视角简约线条图，并通过算法生成三维模型。具体过程如下：（1）数据收集：使用多视角虚拟相机系统拍摄三维模型的多视角简约线条图。（2）数据处理：通过图像处理算法对多视角简约线条图进行处理，提取特征编码F_mview = Encoder_mview(Image_mview)，其中F_mview表示多视角简约线条图特征，Encoder_mview表示预训练图像编码器，Image_mview表示多视角简约线条图。（3）三维生成：使用特征编码生成三维物体模型，公式为Synth_3D = Generator_3D(F_mview)，其中Synth_3D表示生成的三维模型，Generator_3D为深度学习生成模型。最后使用平均IoU和平均倒角距离评估生成质量。

Multi-view simplified line drawing data is collected or obtained via specific algorithms, and trained using deep generative models. The algorithm can generate 3D object models from multi-view line drawings. This dataset is applicable to fields such as 3D modeling, 3D printing, virtual reality (VR) and augmented reality (AR). Users can achieve more realistic 3D display and interaction through the generated 3D object models, solving the problem that single-view line drawings fail to generate complete 3D models due to ambiguous features and missing information.

Edit multi-view simplified line drawings and generate 3D models via algorithms. The specific process is as follows:
(1) Data Collection: Use a multi-view virtual camera system to capture multi-view simplified line drawings of 3D models.
(2) Data Processing: Process the multi-view simplified line drawings through image processing algorithms, and extract feature encoding as $F_{mview} = Encoder_{mview}(Image_{mview})$, where $F_{mview}$ represents the features of multi-view simplified line drawings, $Encoder_{mview}$ denotes the pre-trained image encoder, and $Image_{mview}$ refers to the multi-view simplified line drawings.
(3) 3D Generation: Generate 3D object models using the feature encoding, with the formula $Synth_{3D} = Generator_{3D}(F_{mview})$, where $Synth_{3D}$ represents the generated 3D model, and $Generator_{3D}$ is a deep learning generative model. Finally, evaluate the generation quality using mean Intersection over Union (mIoU) and average Chamfer Distance.

搜集汇总

数据集介绍

特点

该数据集包含10294条记录，用于基于多视角简约线条图的三维物体建模生成，适用于三维建模、3D打印、虚拟现实和增强现实等领域，能够解决单视角线条图因特征模糊和信息缺失无法生成完整三维模型的问题。