FutureHouse
收藏OpenDataLab2026-05-17 更新2024-05-09 收录
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https://opendatalab.org.cn/OpenDataLab/FutureHouse
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资源简介:
我们提出了一个名为 FutureHouse 的大规模逼真全景数据集,它具有以下特点。 1) 它包含超过 70,000 个具有高分辨率mesh和jPBR材质的高质量模型。所有模型均以现实世界标准进行测量。 2)精选的场景布局由100多位优秀艺术家精心设计。所有选定的布局都用于真实世界设计展示。 3)它包含来自 1,752 个房屋规模场景的 28,579 个全景。因此,它可以用于透视图像任务以及全景图像任务。 4)更物理的材质表示。大部分材质用microfacet BRDF建模金属度来表示,其余的则用特殊的着色模型来表示,例如布料材质和透射材质。 5) 高渲染质量。得益于商业渲染引擎-UE4 和DLSS,我们的渲染具有更少的噪点。我们的 SVBRDF 表示(包括基础色和金属度)能够产生非单色镜面反射。
We propose a large-scale photorealistic panoramic dataset named FutureHouse, which features the following attributes:
1) It contains over 70,000 high-quality models with high-resolution meshes and jPBR materials. All models are measured in accordance with real-world standards.
2) Curated scene layouts are meticulously designed by more than 100 outstanding artists, and all selected layouts are utilized for real-world design demonstrations.
3) It encompasses 28,579 panoramic images from 1,752 house-scale scenes, making it applicable to both perspective image tasks and panoramic image tasks.
4) More physically based material representations. Most materials are modeled using microfacet BRDFs with metalness parameters, while the remaining materials are represented via specialized shading models, such as cloth materials and transmissive materials.
5) High rendering quality. Benefiting from the commercial rendering engines UE4 and DLSS, our rendered outputs have minimal noise. Our SVBRDF representations (including albedo and metalness) can generate non-monochromatic specular reflections.
提供机构:
OpenDataLab
创建时间:
2022-09-20
搜集汇总
数据集介绍

背景与挑战
背景概述
FutureHouse是一个大规模逼真全景数据集,包含超过70,000个高质量模型和1,752个房屋规模场景的28,579个全景。该数据集具有高分辨率mesh、物理材质表示和高渲染质量,适用于透视图像和全景图像任务。
以上内容由遇见数据集搜集并总结生成



