4 papers
SegGraph: Leveraging Graphs of SAM Segments for Few-Shot 3D Part Segmentation
Yueyang Hu, Haiyong Jiang, Haoxuan Song +2
This work presents a novel framework for few-shot 3D part segmentation. Recent advances have demonstrated the significant potential of 2D foundation models for low-shot 3D part seg…
Empowering Vector Graphics with Consistently Arbitrary Viewing and View-dependent Visibility
Yidi Li, Jun Xiao, Zhengda Lu +2
This work presents a novel text-to-vector graphics generation approach, Dream3DVG, allowing for arbitrary viewpoint viewing, progressive detail optimization, and view-dependent occ…
HierRelTriple: Guiding Indoor Layout Generation with Hierarchical Relationship Triplet Losses
Kaifan Sun, Bingchen Yang, Peter Wonka +2
We present a hierarchical triplet-based indoor relationship learning method, coined HierRelTriple, with a focus on spatial relationship learning. Existing approaches often depend o…
World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering
Jiacong Wang, Bohong Wu, Haiyong Jiang +4
Recent advances in Vision-Language Models (VLMs) and the scarcity of high-quality multi-modal alignment data have inspired numerous researches on synthetic VLM data generation. The…