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Sungshin Women's University

Academic institutionasia · kr
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Research library12linked papers
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Selected work

Representative Papers

AnyTalk: Speech Animation for Arbitrary Characters Leveraging a Video Generation Model

Aug 17, 2026

This study addresses the reliance on character-specific data and labor-intensive rigging in arbitrary 3D speech animation generation by proposing a zero-animation-data-driven paradigm. The method leverages a video diffusion model to convert talking-head videos into 3D animations, employing character-specific fine-tuning to preserve motion priors. Furthermore, it integrates blendshape parameter optimization with knowledge distillation to construct a real-time inference network. This approach achieves cross-mesh, zero-shot 3D lip-sync generation without requiring any 3D training data. By eliminating the need for 3D datasets, the proposed framework significantly reduces manual annotation costs while maintaining real-time performance, thereby offering an efficient solution for universal 3D speech animation.

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POKEx: Performance analysis of POKE-key exchange and SIDH-variants

Aug 07, 2026

This work addresses the performance limitations of existing isogeny-based key exchange protocols, which remain viable despite the cryptanalysis of SIDH and its variants via classical polynomial-time key recovery attacks. We present the first adaptation of the high-dimensional isogeny-based POKE public-key encryption scheme into a key encapsulation mechanism suitable for key exchange. A systematic performance evaluation at NIST security level 1 demonstrates that our POKE-based key exchange significantly outperforms current isogeny-based alternatives: it achieves approximately 21.21× speedup over terSIDH and 64.97× over CSIDH. These results establish POKE as a highly promising candidate for post-quantum key exchange, offering both strong security foundations and markedly improved efficiency.

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Recent publications

Latest Papers

AnyTalk: Speech Animation for Arbitrary Characters Leveraging a Video Generation Model

Aug 17, 2026

This study addresses the reliance on character-specific data and labor-intensive rigging in arbitrary 3D speech animation generation by proposing a zero-animation-data-driven paradigm. The method leverages a video diffusion model to convert talking-head videos into 3D animations, employing character-specific fine-tuning to preserve motion priors. Furthermore, it integrates blendshape parameter optimization with knowledge distillation to construct a real-time inference network. This approach achieves cross-mesh, zero-shot 3D lip-sync generation without requiring any 3D training data. By eliminating the need for 3D datasets, the proposed framework significantly reduces manual annotation costs while maintaining real-time performance, thereby offering an efficient solution for universal 3D speech animation.

0 citationsRead paper

POKEx: Performance analysis of POKE-key exchange and SIDH-variants

Aug 07, 2026

This work addresses the performance limitations of existing isogeny-based key exchange protocols, which remain viable despite the cryptanalysis of SIDH and its variants via classical polynomial-time key recovery attacks. We present the first adaptation of the high-dimensional isogeny-based POKE public-key encryption scheme into a key encapsulation mechanism suitable for key exchange. A systematic performance evaluation at NIST security level 1 demonstrates that our POKE-based key exchange significantly outperforms current isogeny-based alternatives: it achieves approximately 21.21× speedup over terSIDH and 64.97× over CSIDH. These results establish POKE as a highly promising candidate for post-quantum key exchange, offering both strong security foundations and markedly improved efficiency.

0 citationsRead paper