Replica

doi:doi:10.57702/minzaoff

Replica

The Replica dataset contains 18 various highly photo-realistic indoor environments. It provides dense-mesh, high-resolution RGBD images and a large range of instance annotations with 88 categories.

BibTex:

@dataset{Julian_Straub_and_Thomas_Whelan_and_Lingni_Ma_and_Yufan_Chen_and_Erik_Wijmans_and_Simon_Green_and_Jakob_J_Engel_and_Raul_Mur-Artal_and_Carl_Ren_and_Shobhit_Verma_2024,
    abstract = {The Replica dataset contains 18 various highly photo-realistic indoor environments. It provides dense-mesh, high-resolution RGBD images and a large range of instance annotations with 88 categories.},
    author = {Julian Straub and Thomas Whelan and Lingni Ma and Yufan Chen and Erik Wijmans and Simon Green and Jakob J Engel and Raul Mur-Artal and Carl Ren and Shobhit Verma},
    doi = {10.57702/minzaoff},
    institution = {No Organization},
    keyword = {'3D Reconstruction', '3D Scene Reconstruction', '3D Semantic Segmentation', '3D modeling', '3D reconstruction', '3D scene understanding', 'Indoor Scene Reconstruction', 'Indoor Scene Understanding', 'Neural Semantic Fields', 'Photo-realistic', 'RGB-D', 'Replica', 'Scene Understanding', 'Scene understanding', 'Semantic Segmentation', 'Visual Grounding', 'embodied AI', 'indoor spaces', 'scene understanding'},
    month = {dec},
    publisher = {TIB},
    title = {Replica},
    url = {https://service.tib.eu/ldmservice/dataset/replica},
    year = {2024}
}