CLIP-Driven Open-Vocabulary 3D Scene Graph Generation via Cross-Modality Contrastive Learning

L Chen, X Wang, J Lu, S Lin… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract 3D Scene Graph Generation (3DSGG) aims to classify objects and their predicates
within 3D point cloud scenes. However current 3DSGG methods struggle with two main …

SGFormer: Semantic Graph Transformer for Point Cloud-Based 3D Scene Graph Generation

C Lv, M Qi, X Li, Z Yang, H Ma - … of the AAAI Conference on Artificial …, 2024 - ojs.aaai.org
In this paper, we propose a novel model called SGFormer, Semantic Graph TransFormer for
point cloud-based 3D scene graph generation. The task aims to parse a point cloud-based …

대규모언어모델(LLM) 의사전지식을활용한3 차원장면그래프생성

백호준, 김인철 - 멀티미디어학회논문지, 2023 - dbpia.co.kr
In this paper, we propose a novel 3D scene graph generation model, L3DSG, which can
make use of rich prior knowledge obtained from large language model (LLM) by prompt …