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cs.CV2024★ 1 cited
More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding
Yuan Tang, Xu Han, Xianzhi Li +5
Enabling Large Language Models (LLMs) to comprehend the 3D physical world remains a significant challenge. Due to the lack of large-scale 3D-text pair datasets, the success of LLMs…
cs.CV2024
PointDreamer: Zero-shot 3D Textured Mesh Reconstruction from Colored Point Cloud
Qiao Yu, Xianzhi Li, Yuan Tang +4
Faithfully reconstructing textured meshes is crucial for many applications. Compared to text or image modalities, leveraging 3D colored point clouds as input (colored-PC-to-mesh) o…
cs.CV2024
PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation
Jinfeng Xu, Siyuan Yang, Xianzhi Li +4
Existing point cloud semantic segmentation networks cannot identify unknown classes and update their knowledge, due to a closed-set and static perspective of the real world, which…