4 citations · 12 across the 5 of their papers we have counts for
5 papers
BANG: Dividing 3D Assets via Generative Exploded Dynamics
Longwen Zhang, Qixuan Zhang, Haoran Jiang +4
3D creation has always been a unique human strength, driven by our ability to deconstruct and reassemble objects using our eyes, mind and hand. However, current 3D design tools str…
TANGLED: Generating 3D Hair Strands from Images with Arbitrary Styles and Viewpoints
Pengyu Long, Zijun Zhao, Min Ouyang +5
Hairstyles are intricate and culturally significant with various geometries, textures, and structures. Existing text or image-guided generation methods fail to handle the richness…
CAST: Component-Aligned 3D Scene Reconstruction from an RGB Image
Kaixin Yao, Longwen Zhang, Xinhao Yan +6
Recovering high-quality 3D scenes from a single RGB image is a challenging task in computer graphics. Current methods often struggle with domain-specific limitations or low-quality…
CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets
Longwen Zhang, Ziyu Wang, Qixuan Zhang +6
In the realm of digital creativity, our potential to craft intricate 3D worlds from imagination is often hampered by the limitations of existing digital tools, which demand extensi…
GaussianHair: Hair Modeling and Rendering with Light-aware Gaussians
Haimin Luo, Min Ouyang, Zijun Zhao +6
Hairstyle reflects culture and ethnicity at first glance. In the digital era, various realistic human hairstyles are also critical to high-fidelity digital human assets for beauty…