3d scene graph generation
4 papers with code • 1 benchmarks • 1 datasets
3DSSG
Most implemented papers
Visual Graphs from Motion (VGfM): Scene understanding with object geometry reasoning
paulgay/VGfM
•
•
Recent approaches on visual scene understanding attempt to build a scene graph -- a computational representation of objects and their pairwise relationships.
SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D Sequences
Scene graphs are a compact and explicit representation successfully used in a variety of 2D scene understanding tasks.
Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis
chaoyivision/SGGpoint
•
•
CVPR 2021
Scene understanding is a critical problem in computer vision.
VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud
wz7in/cvpr2023-vlsat
•
•
CVPR 2023
Since 2D images provide rich semantics and scene graphs are in nature coped with languages, in this study, we propose Visual-Linguistic Semantics Assisted Training (VL-SAT) scheme that can significantly empower 3DSSG prediction models with discrimination about long-tailed and ambiguous semantic relations.
