TextANIMAR: Text-based 3D animal fine-grained retrieval

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Trung-Nghia Le, Tam V. Nguyen, Minh-Quan Le, Trong-Thuan Nguyen, Viet-Tham Huynh, Trong-Le Do, Khanh-Duy Le, Mai-Khiem Tran, Nhat Hoang-Xuan, Thang-Long Nguyen-Ho, Vinh-Tiep Nguyen, Tuong-Nghiem Diep, Khanh-Duy Ho, Xuan-Hieu Nguyen, Thien-Phuc Tran, Tuan-Anh Yang, Kim-Phat Tran, Nhu-Vinh Hoang, Minh-Quang Nguyen, E-Ro Nguyen et al. (13 additional authors not shown)

Published: 01 Jan 2023, Last Modified: 16 May 2025Comput. Graph. 2023EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•ANIMAR dataset is created with 711 3D animal models and 150 text queries.•SHREC challenge track focusing on Text-based 3D ANIMAl model fine-grained Retrieval.•Five groups participated in our competition, submitting a total of 114 runs.•We push boundaries of 3D object retrieval and facilitate user-friendly interactions.