REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language
Models
REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language
Models
Text-to-Image (T2I) and multimodal large language models (MLLMs) have been adopted in solutions for several computer vision and multimodal learning tasks. However, it has been found that such vision-language models lack the ability to correctly reason over spatial relationships. To tackle this shortcoming, we develop the REVISION framework which improves …