Dataset Groups Activity Stream 3D-FRONT 3D-FRONT is a synthetic dataset composed of 6,813 houses with 14,629 rooms, where each room is arranged by a collection of high-quality 3D furniture objects from the 3D-FUTURE dataset. BibTex: @dataset{Angela_Dai_and_Leonidas_Guibas_and_Matthias_Nießner_2024, abstract = {3D-FRONT is a synthetic dataset composed of 6,813 houses with 14,629 rooms, where each room is arranged by a collection of high-quality 3D furniture objects from the 3D-FUTURE dataset.}, author = {Angela Dai and Leonidas Guibas and Matthias Nießner}, doi = {10.57702/ph9zvhry}, institution = {No Organization}, keyword = {'3D Reconstruction', '3D Scene Dataset', '3D-FUTURE', 'Indoor Scene Synthesis', 'Indoor Scenes', 'Layouts', 'Semantics'}, month = {dec}, publisher = {TIB}, title = {3D-FRONT}, url = {https://service.tib.eu/ldmservice/dataset/3d-front}, year = {2024} }
