7 papers · 1 filter
VGR: Visual Grounded Reasoning
Jiacong Wang, Zijian Kang, Haochen Wang +8
In the field of multimodal chain-of-thought (CoT) reasoning, existing approaches predominantly rely on reasoning on pure language space, which inherently suffers from language bias…
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…
PS-CAD: Local Geometry Guidance via Prompting and Selection for CAD Reconstruction
Bingchen Yang, Haiyong Jiang, Hao Pan +3
Reverse engineering CAD models from raw geometry is a classic but challenging research problem. In particular, reconstructing the CAD modeling sequence from point clouds provides g…
PartCom: Part Composition Learning for 3D Open-Set Recognition
Weng Tingyu, Xiao Jun, Jiang Haiyong
3D recognition is the foundation of 3D deep learning in many emerging fields, such as autonomous driving and robotics.Existing 3D methods mainly focus on the recognition of a fixed…
CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing
Daxuan Ren, Jianmin Zheng, Jianfei Cai +8
Generating an interpretable and compact representation of 3D shapes from point clouds is an important and challenging problem. This paper presents CSG-Stump Net, an unsupervised en…