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Style2Fab: Functionality-Aware Segmentation for Fabricating Personalized 3D Models with Generative AI., , , , , , , , and . CoRR, (2023)Style2Fab: Functionality-Aware Segmentation for Fabricating Personalized 3D Models with Generative AI., , , , , , , , and . UIST, page 22:1-22:13. ACM, (2023)Demonstration of Style2Fab: Functionality-Aware Segmentation for Fabricating Personalized 3D Models with Generative AI., , , , , , , , and . UIST (Adjunct Volume), page 98:1-98:5. ACM, (2023)Demonstration of G-ID: Identifying 3D Prints Using Slicing Parameters., , , , , , and . CHI Extended Abstracts, page 1-4. ACM, (2020)Mixels: Fabricating Interfaces using Programmable Magnetic Pixels., , , , , , and . UIST, page 8:1-8:12. ACM, (2022)Selective Self-Assembly using Re-Programmable Magnetic Pixels., , , , and . IROS, page 12659-12666. IEEE, (2022)SliceHub: Augmenting Shared 3D Model Repositories with Slicing Results for 3D Printing., , , , , and . CoRR, (2021)Mixels: Fabricating Interfaces using Programmable Magnetic Pixels., , , , , , and . CoRR, (2022)"Is This A Joke?": A Large Humor Classification Dataset., and . ICON, page 104-109. NLP Association of India, (2018)G-ID: Identifying 3D Prints Using Slicing Parameters., , , , , , and . CHI, page 1-13. ACM, (2020)