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description= 3D Semantic Instance Segmentation with Open-Vocabulary queries;
keywords= OpenMask3D, Instance Segmentation, 3D Scene Understanding;
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openmask3d openmask3d open vocabulary 3d instance segmentation neurips 2023 ayça takmaz 1 elisabetta fedele 1 robert w sumner 1 marc pollefeys 1 2 federico tombari 3 francis engelmann 1 3 1 eth zürich 2 microsoft 3 google equal contribution paper arxiv code openmask3d is a zero shot approach to perform 3d instance segmentation with open vocabulary queries abstract we introduce the task of open vocabulary 3d instance segmentation current approaches for 3d instance segmentation can typically only recognize object categories from a pre defined closed set of classes that are annotated in the training datasets this results in important limitations for real world applications where one might need to perform tasks guided by novel open vocabulary queries related to a wide variety of objects recently open vocabulary 3d scene understanding methods have emerged to address this problem by learning queryable features for each point in the scene while such a representation can be directly employed to perform semantic segmentation existing methods cannot separate multiple object instances in this work we address this limitation and propose openmask3d which is a zero shot approach for open vocabulary 3d instance segmentation guided by predicted class agnostic 3d instance masks our model aggregates per mask features via multi view fusion of clip based image embeddings experiments and ablation studies on scannet200 and replica show that openmask3d outperforms other open vocabulary methods especially on the long tail distribution qualitative experiments further showcase openmask3d s ability to segment object properties based on free form queries describing geometry affordances and materials explanatory video your browser does not support the video tag qualitative results using openmask3d you can perform free form queries which capture uncommon objects affordances object properties geometry materials and states uncommon objects footrest angel affordances sit wash object properties an orange pillow a yellow pillow geometry a circular table a rectangular table materials a leather chair a fabric chair states a full garbage bin an empty garbage bin bibtex inproceedings takmaz2023openmask3d title openmask3d open vocabulary 3d instance segmentation author takmaz ay c c a and fedele elisabetta and sumner robert w and pollefeys marc and tombari federico and engelmann francis booktitle advances in neural information processing systems neurips year 2023 this website is licensed under a creative commons attribution sharealike 4 0 international license it borrows the source code of this website we would like to thank utkarsh sinha and keunhong park
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