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cs.CV2024
DreamMapping: High-Fidelity Text-to-3D Generation via Variational Distribution Mapping
Zeyu Cai, Duotun Wang, Yixun Liang +4
Score Distillation Sampling (SDS) has emerged as a prevalent technique for text-to-3D generation, enabling 3D content creation by distilling view-dependent information from text-to…
cs.CV2024
DEGAS: Detailed Expressions on Full-Body Gaussian Avatars
Zhijing Shao, Duotun Wang, Qing-Yao Tian +7
Although neural rendering has made significant advances in creating lifelike, animatable full-body and head avatars, incorporating detailed expressions into full-body avatars remai…
cs.GR2024★ 1 cited
HeadEvolver: Text to Head Avatars via Expressive and Attribute-Preserving Mesh Deformation
Duotun Wang, Hengyu Meng, Zeyu Cai +6
Current text-to-avatar methods often rely on implicit representations (e.g., NeRF, SDF, and DMTet), leading to 3D content that artists cannot easily edit and animate in graphics so…