2 citations · 2 across the 6 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.LG2023★ 2 cited
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook
Wenzhao Jiang, Hao Liu, Hui Xiong
Graph Neural Networks (GNNs) have emerged as powerful representation learning tools for capturing complex dependencies within diverse graph-structured data. Despite their success i…
cs.CV2023
Cloth2Body: Generating 3D Human Body Mesh from 2D Clothing
Lu Dai, Liqian Ma, Shenhan Qian +3
In this paper, we define and study a new Cloth2Body problem which has a goal of generating 3D human body meshes from a 2D clothing image. Unlike the existing human mesh recovery pr…