1 citations · 2 across the 4 of their papers we have counts for
5 papers
Text2VDM: Text to Vector Displacement Maps for Expressive and Interactive 3D Sculpting
Hengyu Meng, Duotun Wang, Zhijing Shao +2
Professional 3D asset creation often requires diverse sculpting brushes to add surface details and geometric structures. Despite recent progress in 3D generation, producing reusabl…
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…
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…
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…
MagicScroll: Nontypical Aspect-Ratio Image Generation for Visual Storytelling via Multi-Layered Semantic-Aware Denoising
Bingyuan Wang, Hengyu Meng, Zeyu Cai +4
Visual storytelling often uses nontypical aspect-ratio images like scroll paintings, comic strips, and panoramas to create an expressive and compelling narrative. While generative…