3 citations · 3 across the 5 of their papers we have counts for
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cs.CV2023
OmniMotionGPT: Animal Motion Generation with Limited Data
Zhangsihao Yang, Mingyuan Zhou, Mengyi Shan +6
Our paper aims to generate diverse and realistic animal motion sequences from textual descriptions, without a large-scale animal text-motion dataset. While the task of text-driven…
cs.CV2023
AdPE: Adversarial Positional Embeddings for Pretraining Vision Transformers via MAE+
Xiao Wang, Ying Wang, Ziwei Xuan +1
Unsupervised learning of vision transformers seeks to pretrain an encoder via pretext tasks without labels. Among them is the Masked Image Modeling (MIM) aligned with pretraining o…