5 papers
Vector Map as Language: Toward Unified Remote Sensing Vector Mapping
Yinglong Yan, Yunkai Yang, Haoyi Wang +7
Remote sensing vector mapping aims to generate structured maps of geospatial entities, such as buildings, roads, and water bodies, from remote sensing imagery. In practice, vector…
UniVector: Unified Vector Extraction via Instance-Geometry Interaction
Yinglong Yan, Jun Yue, Shaobo Xia +7
Vector extraction retrieves structured vector geometry from raster images, offering high-fidelity representation and broad applicability. Existing methods, however, are usually tai…
Weakly Supervised Point Cloud Segmentation via Conservative Propagation of Scene-level Labels
Shaobo Xia, Jun Yue, Kacper Kania +4
We propose a weakly supervised semantic segmentation method for point clouds that predicts "per-point" labels from just "whole-scene" annotations. The key challenge here is the dis…
NoKSR: Kernel-Free Neural Surface Reconstruction via Point Cloud Serialization
Zhen Li, Weiwei Sun, Shrisudhan Govindarajan +4
We present a novel approach to large-scale point cloud surface reconstruction by developing an efficient framework that converts an irregular point cloud into a signed distance fie…
Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives
Yidan Liu, Jun Yue, Shaobo Xia +3
As a newly emerging advance in deep generative models, diffusion models have achieved state-of-the-art results in many fields, including computer vision, natural language processin…