Text 3D

Text 3D research focuses on bridging the gap between textual descriptions and three-dimensional data, aiming to enable tasks like 3D object generation from text prompts and 3D scene understanding based on textual queries. Current efforts involve developing novel neural network architectures, often incorporating attention mechanisms and diffusion models, to effectively learn joint representations of text and 3D point clouds, sometimes leveraging intermediate 2D image representations. This field is significant because it promises advancements in various applications, including virtual and augmented reality, robotics, and computer-aided design, by enabling more intuitive and natural interactions with 3D environments through language.