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Found 4 papers, 1 papers with code
DOrA: 3D Visual Grounding with Order-Aware Referring
3D visual grounding aims to identify the target object within a 3D point cloud scene referred to by a natural language description.
GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding
Utilizing multi-view inputs to synthesize novel-view images, Neural Radiance Fields (NeRF) have emerged as a popular research topic in 3D vision.
TPA3D: Triplane Attention for Fast Text-to-3D Generation
With only 3D shape data and their rendered 2D images observed during training, our TPA3D is designed to retrieve detailed visual descriptions for synthesizing the corresponding 3D mesh data.
SPoVT: Semantic Prototype Variational Transformer for Dense Point Cloud Semantic Completion
Point cloud completion is an active research topic for 3D vision and has been widely studied in recent years.
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