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CVMI-Lab / PLA

(CVPR 2023) PLA: Language-Driven Open-Vocabulary 3D Scene Understanding & (CVPR2024) RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding
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A Question About S3DIS #10

Closed Wang-pengfei closed 1 year ago

Wang-pengfei commented 1 year ago

Hi， I noticed that the PLA method is based on 2D images to obtain the correspondence between natural language and point clouds. However, as S3DIS does not include 2D images, I am curious how you obtain the correspondence between natural language and point clouds in this dataset.

jihanyang commented 1 year ago

Hello, you can refer to the DATASET.md for the 2d image link for S3DIS.

Wang-pengfei commented 1 year ago

Thank you for your response. I would like to inquire about the timeline for the S3DIS caption generation code to be open-sourced. Any information you can provide would be appreciated.

Dingry commented 1 year ago

We expect to release it in two weeks if there were no accidents.

Wang-pengfei commented 1 year ago

Thanks！Looking forward to any updates from you.