{"id":"2303.11313","title":"CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition","url":"https://codeofpaper.com/paper/2303.11313","arxiv_url":"https://arxiv.org/abs/2303.11313","published":"2023-03-20","code":"community","best":{"full_name":"deeptibhegde/CLIP-goes-3D","url":"https://github.com/deeptibhegde/CLIP-goes-3D","tier":"high_confidence_community","stars":241,"license":null,"framework":null,"language":"Python","last_commit":"2023-05-01T16:11:06"},"most_starred_community":null,"implementations":[{"full_name":"deeptibhegde/CLIP-goes-3D","url":"https://github.com/deeptibhegde/CLIP-goes-3D","tier":"high_confidence_community","stars":241,"license":null,"framework":null,"language":"Python","last_commit":"2023-05-01T16:11:06"}],"possible_matches":0}