Hanbo Shim

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models

It is shown that MVRD makes visual representations more geometric while retaining language alignment, and generalizes to 3D scene understanding tasks such as object grounding, dense captioning, and question answering, while approaching feature fusion methods with considerably fewer added parameters and lower latency.