Electrical Appliances
✓ Basic Information,✓ Material,x Component Structure,x Standard Naming Conventions
ProfessionalElectrical Appliances
✓ Basic Information,✓ Material,✓ Component Structure,✓ Standard Naming Conventions
Furniture
✓ Basic Information,✓ Material,x Component Structure,x Standard Naming Conventions
ProfessionalFurniture
✓ Basic Information,✓ Material,✓ Component Structure,✓ Standard Naming Conventions
Teapot
✓ Basic Information,✓ Material,x Component Structure,x Standard Naming Conventions
Wardrobe
✓ Basic Information,✓ Material,x Component Structure,x Standard Naming Conventions
Oven
✓ Basic Information,✓ Material,✓ Component Structure,✓ Standard Naming Conventions,✓ Physical Simulation Information: Simulation parameters, collision bodies, parent-child set binding relationships.,✓ Real-world dimensions,✓ Real-world structure
书桌模型
✓ Basic Information,✓ Material,✓ Component Structure,✓ Standard Naming Conventions,✓ Physical Simulation Information: Simulation parameters, collision bodies, parent-child set binding relationships.,✓ Real-world dimensions,✓ Real-world structure
Flexible deformation
By using physics simulation, we can give more natural and rich postures to common flexible models like socks, pillows, tissues, and so on.
Splashing deformation
By using physics simulation, irregular stacking can be applied to individual small models like sunflower seeds, peanuts, etc., showcasing a more natural and diverse range of model postures.
Fractured deformation
By using physics simulation, applying fracture simulation deformation to individual whole models can achieve natural and realistic model fragmentation effects.
Indoor Scene
This is a common home decor scene, including dining room, bedroom, bathroom, kitchen, etc. The scene features instance segmentation cleaning, semantic precise labeling, and some models provide component-related information. We used rectangular lighting to simulate realistic lighting in this scene. It is recommended to use Unreal simulation software version greater than 5 or Isaac Sim simulation software version 2022.1 to view this scene.
Commercial Space Scene
This is a typical restaurant scene, including the kitchen, dining hall, bar, etc. The scene features instance segmentation cleaning, precise semantic labeling, and some models provide component-related information. Additionally, we used rectangular lighting to simulate realistic lighting. It is recommended to use Unreal simulation software version greater than 5 or Isaac Sim simulation software version 2022.1.
Object Recognition Dataset
We can select different products and place them in various scenes for recognition. The sample dataset includes two products positioned in four scenes (essentially representing two apartment layouts, each utilizing a utility room and a furnished room).
Indoor Bow-Shaped Trajectory Synthesis Dataset
We have selected an indoor home decor scene to simulate the trajectory of a 150mm radius robotic vacuum cleaner during household cleaning. This trajectory is used to generate camera positions for rendering, with rendering parameters set at a resolution of 1920*1080, FOV60, and a camera height of 50mm. The dataset includes the following types of content: camera poses (intrinsic and extrinsic parameters), depth maps, COCO format 2D image annotation information, normal maps in the camera coordinate system, rendered images, semantic images, and albedo channel images.
Synthetic Dataset of Indoor Roaming with Random Trajectories
We selected an indoor home decor scene to simulate the perspective of a person walking indoors. The rendering parameters are set as follows: resolution 1920*1080, field of view 60 degrees, camera height 1300mm. The dataset includes the following types of content: camera poses (intrinsic and extrinsic parameters), depth maps, COCO-formatted 2D image annotations, normal maps in the camera coordinate system, rendered images, semantic maps, and albedo channel maps.
Synthetic Dataset of Indoor Captures with Random Height Variation
We selected an indoor home decor scene to simulate roaming rendering with random height and pitch angles. The rendering parameters are set as follows: resolution 1920*1080, field of view 60 degrees, with the camera height randomly varying between 700mm and 1500mm, and the pitch angle randomly varying between -45 degrees and 45 degrees. The dataset includes the following types of content: camera poses (intrinsic and extrinsic parameters), depth maps, COCO-formatted 2D image annotations, normal maps in the camera coordinate system, rendered images, semantic maps, and albedo channel maps.