We introduce 3D-FRONT (3D Furnished Rooms with layOuts and semaNTics), a new, large-scale, and comprehensive repository of synthetic indoor scenes highlighted by professionally designed layouts and a large number of rooms populated by high-quality textured 3D models with style compatibility. From layout semantics down to texture details of individual objects, our dataset is freely available to the academic community and beyond. Currently, 3D-FRONT contains 18,797 rooms diversely furnished by 3D objects, far surpassing all publicly available scene datasets. In addition, the 7,302 furniture objects all come with high-quality textures. While the floorplans and layout designs are directly sourced from professional creations, the interior designs in terms of furniture styles, color, and textures have been carefully curated based on a recommender system we develop to attain consistent styles as expert designs. Furthermore, we release Trescope, a light-weight rendering tool, to support benchmark rendering of 2D images and annotations from 3D-FRONT. We demonstrate two applications, interior scene synthesis and texture synthesis, that are especially tailored to the strengths of our new dataset. The project page is at: https://tianchi.aliyun.com/specials/promotion/alibaba-3d-scene-dataset.
翻译:我们引入了3D-FRONT(3D-FORONT)(3D-FORONT(3D-Furente room) ), 一个新的、大规模和综合的合成室内场景储存库, 由专业设计的布局和大量由高品质的3D型纹理模型和风格兼容的3D型模型组成。 从布局语义到单个物体的纹理细节, 我们的数据集可以免费提供给学术界和学术界。 目前, 3D- FRONT(3D-FRONT) 包含18 797个由3D 对象提供的不同房间, 远远超过了所有公开提供的现场数据集。 此外, 7 302个家具物件都配有高质量的纹理。 虽然地面图和布局设计直接来自专业创作, 家具样式、 颜色和纹理的内置设计, 已经根据我们开发的推荐系统进行了仔细的调整, 以取得一致的风格作为专家设计。 此外, 我们发布了一个轻量度的转换工具, 以支持2D-FRONT。 我们展示了两个应用程序, 内景质合成/Sextimalimalimetalimealimalimealimalime 。