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cs.CV2026

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.CV2026

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.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.CV2025

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

PIFu for the Real World: A Self-supervised Framework to Reconstruct Dressed Human from Single-view Images

Zhangyang Xiong, Dong Du, Yushuang Wu +4

It is very challenging to accurately reconstruct sophisticated human geometry caused by various poses and garments from a single image. Recently, works based on pixel-aligned impli…