Dataset Groups Activity Stream ScanNet Dataset The ScanNet dataset is a large-scale indoor dataset composed of monocular sequences with ground truth poses and depth images. BibTex: @dataset{Rui_Yu_and_Jiachen_Liu_and_Zihan_Zhou_and_Sharon_X_Huang_2024, abstract = {The ScanNet dataset is a large-scale indoor dataset composed of monocular sequences with ground truth poses and depth images.}, author = {Rui Yu and Jiachen Liu and Zihan Zhou and Sharon X. Huang}, doi = {10.57702/6qois3kh}, institution = {No Organization}, keyword = {'3D Reconstruction', 'Computer Vision', 'Indoor Scene', 'Indoor Scene Reconstruction', 'Indoor Scenes', 'Semantic Segmentation', 'depth estimation', 'indoor scene understanding', 'monocular vision'}, month = {dec}, publisher = {TIB}, title = {ScanNet Dataset}, url = {https://service.tib.eu/ldmservice/dataset/scannet-dataset}, year = {2024} }
