Edmund J. C. Findlay

Durham University
MEng (Primary Supervisor: )
, 2022 - 2022

Durham University
, UK
  • Research interests:

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Publications with the Team

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: 24#
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 Plain Text
Ziyi Chang, Edmund J. C. Findlay, Haozheng Zhang and Hubert P. H. Shum, "Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models," in GRAPP '23: Proceedings of the 2023 International Conference on Computer Graphics Theory and Applications, pp. 64-74, Lisbon, Portugal, SciTePress, Feb 2023.
Bibtex
@inproceedings{chang23unifying,
 author={Chang, Ziyi and Findlay, Edmund J. C. and Zhang, Haozheng and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2023 International Conference on Computer Graphics Theory and Applications},
 series={GRAPP '23},
 title={Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models},
 year={2023},
 month={2},
 pages={64--74},
 numpages={11},
 doi={10.5220/0011631000003417},
 issn={2184-4321},
 isbn={978-989-758-634-7},
 publisher={SciTePress},
 location={Lisbon, Portugal},
}
RIS
TY  - CONF
AU  - Chang, Ziyi
AU  - Findlay, Edmund J. C.
AU  - Zhang, Haozheng
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2023 International Conference on Computer Graphics Theory and Applications
TI  - Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models
PY  - 2023
Y1  - 2 2023
SP  - 64
EP  - 74
DO  - 10.5220/0011631000003417
SN  - 2184-4321
PB  - SciTePress
ER  - 
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 Plain Text
Edmund J. C. Findlay, Haozheng Zhang, Ziyi Chang and Hubert P. H. Shum, "Denoising Diffusion Probabilistic Models for Styled Walking Synthesis," in MIG '22: Proceedings of the 2022 ACM SIGGRAPH Conference on Motion, Interaction and Games, Guanajuato, Mexico, ACM, 2022.
Bibtex
@inproceedings{edmund22style,
 author={Findlay, Edmund J. C. and Zhang, Haozheng and Chang, Ziyi and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2022 ACM SIGGRAPH Conference on Motion, Interaction and Games},
 series={MIG '22},
 title={Denoising Diffusion Probabilistic Models for Styled Walking Synthesis},
 year={2022},
 publisher={ACM},
 Address={New York, NY, USA},
 location={Guanajuato, Mexico},
}
RIS
TY  - CONF
AU  - Findlay, Edmund J. C.
AU  - Zhang, Haozheng
AU  - Chang, Ziyi
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2022 ACM SIGGRAPH Conference on Motion, Interaction and Games
TI  - Denoising Diffusion Probabilistic Models for Styled Walking Synthesis
PY  - 2022
PB  - ACM
ER  - 
Paper YouTube

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