Text to 3D Scene Generation with Rich Lexical Grounding

Understand

The ability to map descriptions of scenes to 3D geometric representations has many applications in areas such as art, education, and robotics.

• However, prior work on the text to 3D scene generation task has used manually specified object categories and language that identifies them.
• We introduce a dataset of 3D scenes annotated with natural language descriptions and learn from this data how to ground textual descriptions to physical objects.
• Our method successfully grounds a variety of lexical terms to concrete referents, and we show quantitatively that our method improves 3D scene generation over previous work using purely rule-based methods.