EVLM: Self-Reflective Multimodal Reasoning for Cross-Dimensional Visual
Editing
EVLM: Self-Reflective Multimodal Reasoning for Cross-Dimensional Visual
Editing
Editing complex visual content based on ambiguous instructions remains a challenging problem in vision-language modeling. While existing models can contextualize content, they often struggle to grasp the underlying intent within a reference image or scene, leading to misaligned edits. We introduce the Editing Vision-Language Model (EVLM), a system designed to …