6 citations · 8 across the 4 of their papers we have counts for
6 papers
Visual Localization via Few-Shot Scene Region Classification
Siyan Dong, Shuzhe Wang, Yixin Zhuang +3
Visual (re)localization addresses the problem of estimating the 6-DoF (Degree of Freedom) camera pose of a query image captured in a known scene, which is a key building block of m…
A Simple And Effective Filtering Scheme For Improving Neural Fields
Yixin Zhuang
Recently, neural fields, also known as coordinate-based MLPs, have achieved impressive results in representing low-dimensional data. Unlike CNN, MLPs are globally connected and lac…
Neural Implicit 3D Shapes from Single Images with Spatial Patterns
Yixin Zhuang, Yunzhe Liu, Yujie Wang +1
Neural implicit functions have achieved impressive results for reconstructing 3D shapes from single images. However, the image features for describing 3D point samplings of implici…
Multimodal Shape Completion via Conditional Generative Adversarial Networks
Rundi Wu, Xuelin Chen, Yixin Zhuang +1
Several deep learning methods have been proposed for completing partial data from shape acquisition setups, i.e., filling the regions that were missing in the shape. These methods,…
Decoupling Features and Coordinates for Few-shot RGB Relocalization
Siyan Dong, Songyin Wu, Yixin Zhuang +3
Cross-scene model adaption is crucial for camera relocalization in real scenarios. It is often preferable that a pre-learned model can be fast adapted to a novel scene with as few…
PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes
Rundi Wu, Yixin Zhuang, Kai Xu +2
We introduce PQ-NET, a deep neural network which represents and generates 3D shapes via sequential part assembly. The input to our network is a 3D shape segmented into parts, where…