Ziyi Chang

Durham University
PhD (Co-supervised with )
, 2021 - Present

Durham University
, United Kingdom
  • Research topic: Learning styles in 3D data for reconstruction and synthesis

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Publications with the Team

Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient
Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient  H5-Index: 291# Core A* Conference
Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Zhengzhi Lu, He Wang, Ziyi Chang, Guoan Yang and Hubert P. H. Shum
Webpage Cite This Paper Supplementary Material GitHub YouTube
Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models
Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models  Citation: 12#
Proceedings of the 2023 International Conference on Computer Graphics Theory and Applications (GRAPP), 2023
Ziyi Chang, Edmund J. C. Findlay, Haozheng Zhang and Hubert P. H. Shum
Webpage Cite This Paper GitHub YouTube
On the Design Fundamentals of Diffusion Models: A Survey
On the Design Fundamentals of Diffusion Models: A Survey  Citation: 41#
arXiv Preprint, 2023
Ziyi Chang, George Alex Koulieris and Hubert P. H. Shum
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3D Reconstruction of Sculptures from Single Images via Unsupervised Domain Adaptation on Implicit Models
3D Reconstruction of Sculptures from Single Images via Unsupervised Domain Adaptation on Implicit Models  Core A Conference
Proceedings of the 2022 ACM Symposium on Virtual Reality Software and Technology (VRST), 2022
Ziyi Chang, George Alex Koulieris and Hubert P. H. Shum
Webpage Cite This Paper GitHub YouTube
Denoising Diffusion Probabilistic Models for Styled Walking Synthesis
Denoising Diffusion Probabilistic Models for Styled Walking Synthesis
Proceedings of the 2022 ACM SIGGRAPH Conference on Motion, Interaction and Games (MIG) Posters, 2022
Edmund J. C. Findlay, Haozheng Zhang, Ziyi Chang and Hubert P. H. Shum
Webpage Cite This Paper YouTube

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Last updated on 6 October 2024
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