--config-file ./configs/cubercnn_DLA34_FPN_in.yaml \ --input-folder "/home/spurs/dataset/2011_10_03/2011_10_03_drive_0047_sync/image_02/data" \ --threshold 0.25 --display \ MODEL.WEIGHTS ./cubercnn_DLA34_FPN_indoor.pth \ OUTPUT_DIR output/demo installtion # setup new evironment...
OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation 论文地址:OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation 摘要 近年来,在3D对象建模方面的进步大多依赖于合成数据集,这主要是因为缺乏大规模的真实扫描...
OmniObject3D is a large-scale high-quality 3D dataset for real-world scanned objects of multiple categories. It supports the generalization and robustness of various research topics such as novel view synthesis, neural surface reconstruction, 3D generation, and point cloud analysis. Developers and ...
OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation 背景介绍 面向真实 3D 物体的感知、理解、重建与生成是计算机视觉领域一直倍受关注的问题,也在近年来取得了飞速的进展。然而,由于社区中长期缺乏大规模的实采 3D 物体数据库,大部分技术方法仍依赖于 ShapeNet[1...
内容提示: Omni6D: Large-Vocabulary 3D Object Datasetfor Category-Level 6D Object Pose EstimationMengchen Zhang 1,2 , Tong Wu 3 , Tai Wang 2 , Tengfei Wang 2 , Ziwei Liu 4 , andDahua Lin 2,31Zhejiang University, Zhejiang, China2Shanghai Artif i cial Intelligence Laboratory, Shanghai, ...
几篇论文实现代码:《OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation》(CVPR 2023) GitHub: github.com/omniobject3d/OmniObject3D [fig1] 《HOOD...
1) The dataset comprises an extensive spectrum of 166 categories, 4688 instances adjusted to the canonical pose, and over 0.8 million captures, significantly broadening the scope for evaluation. 2) We introduce a symmetry-aware metric and conduct systematic benchmarks of existing algorithms on Omni...
[ CVPR 2023 Award Candidate ] OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation - omniobject3d/OmniObject3D
Omni3D Performance Table Dataset#itersAP2DAP3D SUNRGBD_test final 18.1246 16.7919 Hypersim_test final 13.3741 7.30641 ARKitScenes_test final 43.7697 43.5845 Omni3D_Out final nan nan Omni3D_In final 19.2801 15.0396 Omni3D final nan nanOmni3D_Out Here we train and evaluate Cube R-CNN on the...
Zero-shot 3D Point Cloud Classification OmniObject3D (Pretrained on ShapeNet) OpenDlign Zero-shot 3D classification OmniObject3D (Pretrained on ShapeNet) OpenDlign Papers Dataset Loaders AddRemove No data loaders found. You cansubmit your data loader here. ...