3 citations · 4 across the 4 of their papers we have counts for
4 papers
PersonaBooth: Personalized Text-to-Motion Generation
Boeun Kim, Hea In Jeong, JungHoon Sung +8
This paper introduces Motion Personalization, a new task that generates personalized motions aligned with text descriptions using several basic motions containing Persona. To suppo…
MoST: Motion Style Transformer between Diverse Action Contents
Boeun Kim, Jungho Kim, Hyung Jin Chang +1
While existing motion style transfer methods are effective between two motions with identical content, their performance significantly diminishes when transferring style between mo…
Global-local Motion Transformer for Unsupervised Skeleton-based Action Learning
Boeun Kim, Hyung Jin Chang, Jungho Kim +1
We propose a new transformer model for the task of unsupervised learning of skeleton motion sequences. The existing transformer model utilized for unsupervised skeleton-based actio…
Distinctive-attribute Extraction for Image Captioning
Boeun Kim, Young Han Lee, Hyedong Jung +1
Image captioning, an open research issue, has been evolved with the progress of deep neural networks. Convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are…