13 papers
Autoregressive B-Rep Shape Generation with Parametric Surfaces
Dafei Qin, Rui Xu, Zeyu Shen +8
Generative CAD modeling has broad design and application potential. Despite significant advances in Boundary Representation (B-Rep) generation, the dominant representation in CAD,…
HairGPT: Strand-as-Language Autoregressive Modeling for Realistic 3D Hairstyle Synthesis
Haimin Luo, Min Ouyang, Lan Xu +1
Hair is a rich medium of visual and cultural expression, yet its digital modeling remains challenging due to the duality of fluidity and structure. Many existing generative approac…
PartNeXt: A Next-Generation Dataset for Fine-Grained and Hierarchical 3D Part Understanding
Penghao Wang, Yiyang He, Xin Lv +4
Understanding objects at the level of their constituent parts is fundamental to advancing computer vision, graphics, and robotics. While datasets like PartNet have driven progress…
SPREAD: Spatial-Physical REasoning via geometry Aware Diffusion
Minzhang Li, Kuixiang Shao, Xuebing Li +6
Automated 3D scene generation is pivotal for applications spanning virtual reality, digital content creation, and Embodied AI. While computer graphics prioritizes aesthetic layouts…
TAPESTRY: From Geometry to Appearance via Consistent Turntable Videos
Yan Zeng, Haoran Jiang, Kaixin Yao +4
Automatically generating photorealistic and self-consistent appearances for untextured 3D models is a critical challenge in digital content creation. The advancement of large-scale…
PanoVGGT: Feed-Forward 3D Reconstruction from Panoramic Imagery
Yijing Guo, Mengjun Chao, Luo Wang +5
Panoramic imagery offers a full 360° field of view and is increasingly common in consumer devices. However, it introduces non-pinhole distortions that challenge joint pose estimat…