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20242026
most citedAligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI

13 citations · 13 across the 11 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024

DAGSM: Disentangled Avatar Generation with GS-enhanced Mesh

Jingyu Zhuang, Di Kang, Linchao Bao +2

Text-driven avatar generation has gained significant attention owing to its convenience. However, existing methods typically model the human body with all garments as a single 3D m…

cs.CV2024

High-fidelity and Lip-synced Talking Face Synthesis via Landmark-based Diffusion Model

Weizhi Zhong, Junfan Lin, Peixin Chen +2

Audio-driven talking face video generation has attracted increasing attention due to its huge industrial potential. Some previous methods focus on learning a direct mapping from au…

cs.CV2024

Style-Preserving Lip Sync via Audio-Aware Style Reference

Weizhi Zhong, Jichang Li, Yinqi Cai +4

Audio-driven lip sync has recently drawn significant attention due to its widespread application in the multimedia domain. Individuals exhibit distinct lip shapes when speaking the…

cs.CV2024

MarvelOVD: Marrying Object Recognition and Vision-Language Models for Robust Open-Vocabulary Object Detection

Kuo Wang, Lechao Cheng, Weikai Chen +4

Learning from pseudo-labels that generated with VLMs~(Vision Language Models) has been shown as a promising solution to assist open vocabulary detection (OVD) in recent studies. Ho…

cs.CV2024★ 13 cited

Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI

Yang Liu, Weixing Chen, Yongjie Bai +4

Embodied Artificial Intelligence (Embodied AI) is crucial for achieving Artificial General Intelligence (AGI) and serves as a foundation for various applications (e.g., intelligent…

cs.CV2024

Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection

Jiaming Li, Jiacheng Zhang, Jichang Li +4

Open vocabulary object detection (OVD) aims at seeking an optimal object detector capable of recognizing objects from both base and novel categories. Recent advances leverage knowl…