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BibTeX


    @inproceedings{yu2024metta,
        title={MeTTA: Single-View to 3D Textured Mesh Reconstruction with Test-Time Adaptation},
        author={Yu-Ji, Kim and Ha, Hyunwoo and Youwang, Kim and Surh, Jaeheung and Ha, Hyowon and Oh, Tae-Hyun},
        booktitle={The British Machine Vision Conference (BMVC)},
        year={2024}
    }
    

Acknowledgement

We thank the members of AMILab and Bucketplace for their helpful discussions and proofreading (especially for Kwon Byung-Ki). We would also like to thank Rui Chen for his help with the implementation of the code.
This project was supported by Bucketplace and also supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) (No.RS-2022-II220290, Visual Intelligence for Space-Time Understanding and Generation based on Multi-layered Visual Common Sense; No.RS-2022-II220124, Development of Artificial Intelligence Technology for Self-Improving Competency-Aware Learning Capabilities; and No.RS-2019-II191906, Artificial Intelligence Graduate School Program(POSTECH)).

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