AnaMoDiﬀ

doi:doi:10.57702/x7xly7kj

AnaMoDiﬀ

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a pre-trained Stable Diﬀusion model and a Latent Optical Flow Network (LOFNet) to generate motion frames for a source character.

BibTex:

@dataset{Maham_Tanveer_and_Simon_Fraser_University_Canada_and_Yizhi_Wang_and_Simon_Fraser_University_Canada_and_Ruiqi_Wang_and_Simon_Fraser_University_Canada_and_Nanxuan_Zhao_and_Adobe_Research_USA_and_Ali_Mahdavi-Amiri_and_Simon_Fraser_University_Canada_and_Hao_Zhang_and_Simon_Fraser_University_Canada_2024,
    abstract = {The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a pre-trained Stable Diﬀusion model and a Latent Optical Flow Network (LOFNet) to generate motion frames for a source character.},
    author = {Maham Tanveer and Simon Fraser University, Canada and Yizhi Wang and Simon Fraser University, Canada and Ruiqi Wang and Simon Fraser University, Canada and Nanxuan Zhao and Adobe Research, USA and Ali Mahdavi-Amiri and Simon Fraser University, Canada and Hao Zhang and Simon Fraser University, Canada},
    doi = {10.57702/x7xly7kj},
    institution = {No Organization},
    keyword = {'2D character animation', 'character animation', 'diﬀusion models', 'motion transfer'},
    month = {dec},
    publisher = {TIB},
    title = {AnaMoDiﬀ},
    url = {https://service.tib.eu/ldmservice/dataset/anamodi-},
    year = {2024}
}