{"id":"2511.15831","title":"UniFit: Towards Universal Virtual Try-on with MLLM-Guided Semantic Alignment","url":"https://codeofpaper.com/paper/2511.15831","arxiv_url":"https://arxiv.org/abs/2511.15831","published":"2025-11-19","code":"official","best":{"full_name":"zwplus/UniFit","url":"https://github.com/zwplus/UniFit","tier":"official","stars":12,"license":null,"framework":null,"language":"Python","last_commit":"2025-11-19T18:30:15"},"most_starred_community":null,"implementations":[{"full_name":"zwplus/UniFit","url":"https://github.com/zwplus/UniFit","tier":"official","stars":12,"license":null,"framework":null,"language":"Python","last_commit":"2025-11-19T18:30:15"}],"possible_matches":0}