2.9k citations · 10.7k across the 136 of their papers we have counts for
26 papers · 1 filter
Domain Adaptation on Point Clouds via Geometry-Aware Implicits
Yuefan Shen, Yanchao Yang, Mi Yan +3
As a popular geometric representation, point clouds have attracted much attention in 3D vision, leading to many applications in autonomous driving and robotics. One important yet u…
Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders
Mikaela Angelina Uy, Yen-yu Chang, Minhyuk Sung +4
We propose Point2Cyl, a supervised network transforming a raw 3D point cloud to a set of extrusion cylinders. Reverse engineering from a raw geometry to a CAD model is an essential…
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation
Chuanyu Pan, Yanchao Yang, Kaichun Mo +2
We propose a framework to continuously learn object-centric representations for visual learning and understanding. Existing object-centric representations either rely on supervisio…
Efficient Geometry-aware 3D Generative Adversarial Networks
Eric R. Chan, Connor Z. Lin, Matthew A. Chan +9
Unsupervised generation of high-quality multi-view-consistent images and 3D shapes using only collections of single-view 2D photographs has been a long-standing challenge. Existing…
PartGlot: Learning Shape Part Segmentation from Language Reference Games
Juil Koo, Ian Huang, Panos Achlioptas +2
We introduce PartGlot, a neural framework and associated architectures for learning semantic part segmentation of 3D shape geometry, based solely on part referential language. We e…
IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes
Qi Li, Kaichun Mo, Yanchao Yang +2
Building embodied intelligent agents that can interact with 3D indoor environments has received increasing research attention in recent years. While most works focus on single-obje…