{"id":"2207.11514","title":"Semantic Abstraction: Open-World 3D Scene Understanding from 2D Vision-Language Models","url":"https://codeofpaper.com/paper/2207.11514","arxiv_url":"https://arxiv.org/abs/2207.11514","published":"2022-07-23","code":"community","best":{"full_name":"real-stanford/semantic-abstraction","url":"https://github.com/real-stanford/semantic-abstraction","tier":"high_confidence_community","stars":114,"license":"MIT","framework":null,"language":"Python","last_commit":"2023-03-09T17:02:53"},"most_starred_community":null,"implementations":[{"full_name":"real-stanford/semantic-abstraction","url":"https://github.com/real-stanford/semantic-abstraction","tier":"high_confidence_community","stars":114,"license":"MIT","framework":null,"language":"Python","last_commit":"2023-03-09T17:02:53"}],"possible_matches":2}