4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.GR2025★ 4 cited
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…
cs.CV2025
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…
cs.CV2025
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…