3D-FRONT 填补学术界 3D 场景布局数据空白 图 3:3D-FRONT 数据集属性。3D-FRONT 包含 6,813 个真实户型,平均每个户型包含 7 个房间场景,其中 19,775 个房间场景具有人工验证过的精美室内设计信息。每个房间内涉及的家具均来自于阿里巴巴已开源的 3D 模型数据集 3D-FUTURE(3D FUrniture shapes with TextURE)...
The 3D-FRONT benchmark is provided byAlibaba Topping Homestyler, and organized byAlibaba Tao Technology Departmentunder the3D-FRONT Terms of Use. If you would like to download the 3D-FRONT data, please apply for the dateset atTC Lab: 3D-FRONT Dataset. If you have any questions, please send...
我们在 3D-FRONT 数据集上评估了我们的方法。我们的实验结果表明,MiDiffusion 在地板条件下的 3D 场景合成中的表现远胜于最先进的自回归和扩散模型。此外,我们的模型可以通过破坏和遮罩策略处理部分对象约束,而无需特定任务的训练。我们表明,MiDiffusion 在场景完成和家具布置实验中比现有方法具有明显的优势。 MeshXL:...
assets_path: your_installation_path/gibson2/data/assets g_dataset_path: your_installation_path/gibson2/data/g_dataset ig_dataset_path: your_installation_path/gibson2/data/ig_dataset threedfront_dataset_path: your_installation_path/gibson2/data/threedfront_dataset cubicasa_dataset_path: your_...
题目:FVNet: 3D Front-View Proposal Generation for Real-Time Object Detection from Point Clouds 名...
它将3D点云转换到与图像相似的正视图(Front View),得到一个"点云伪图像"。这种数据在格式和性质上与图像非常类似,自然的也就可以照搬图像上的物体检测算法。但是这种表示的缺陷也很明显,首先多个点可能映射到图像坐标的同一个位置,这样会造成信息的丢失。更为重要的是,将3D的点映射到2D平面,深度信息被嵌入到了...
This dataset consists of 8000+ images of professional footballers during a match of the Allsvenskan league. It consists of two parts: one with ground truth pose in 2D and one with ground truth pose in both 2D and 3D. Disney Research light field datasets ...
import mayavi.mlab as mlabdataset = kitti_object(os.path.join(ROOT_DIR, 'Kitti_3D_Vis/dataset/object')) # linux 路径data_idx = 10 # 选择第几张图像# 1-加载标签数据objects = dataset.get_label_objects(data_idx)print("There are %d objects.", len(objects))# 2-加载图像img = dataset....
consists of 798 training sequences and 202 validation sequences. The dataset also includes 150 test sequences without ground truth data. The dataset provides object labels in the full 360◦field of view with a multi-camera rig. We only use the front camera and only consider object labels in...
29, trained by an “unpaired” dataset (i.e., nonalignment of X-ray image and DRR), a “paired” dataset using 2D–3D registration24,25 was generated and pix2pix23 was applied, allowing more efficient training with a smaller dataset compared with unpaired training. Image translation from ...