Web: http://arxiv.org/abs/2209.08353

Sept. 20, 2022, 1:12 a.m. | Zhaoxin Fan, Fengxin Li, Hongyan Liu, Jun He, Xiaoyong Du

cs.CV updates on arXiv.org arxiv.org

In this paper, we research the new topic of object effects recommendation in
micro-video platforms, which is a challenging but important task for many
practical applications such as advertisement insertion. To avoid the problem of
introducing background bias caused by directly learning video content from
image frames, we propose to utilize the meaningful body language hidden in 3D
human pose for recommendation. To this end, in this work, a novel human pose
driven object effects recommendation network termed PoseRec is …

arxiv effects human recommendation

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