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20212025
most citedAudio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders

6 citations · 6 across the 1 of their papers we have counts for

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cs.CV2025

WIPES: Wavelet-based Visual Primitives

Wenhao Zhang, Hao Zhu, Delong Wu +4

Pursuing a continuous visual representation that offers flexible frequency modulation and fast rendering speed has recently garnered increasing attention in the fields of 3D vision…

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

MeGA: Hybrid Mesh-Gaussian Head Avatar for High-Fidelity Rendering and Head Editing

Cong Wang, Di Kang, He-Yi Sun +4

Creating high-fidelity head avatars from multi-view videos is a core issue for many AR/VR applications. However, existing methods usually struggle to obtain high-quality renderings…

cs.CV2023

Neural Point-based Volumetric Avatar: Surface-guided Neural Points for Efficient and Photorealistic Volumetric Head Avatar

Cong Wang, Di Kang, Yan-Pei Cao +3

Rendering photorealistic and dynamically moving human heads is crucial for ensuring a pleasant and immersive experience in AR/VR and video conferencing applications. However, exist…

cs.CV20216 cited

Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders

Jing Li, Di Kang, Wenjie Pei +4

Generating conversational gestures from speech audio is challenging due to the inherent one-to-many mapping between audio and body motions. Conventional CNNs/RNNs assume one-to-one…