groundingLMM vs virtualhome
groundingLMM: GLaMM (Grounding Large Multimodal Model) is an end-to-end trained LMM capable of generating natural language responses integrated with object segmentation masks, enabling visual grounding and versatile interaction with images at multiple granularity levels. It introduces the novel task of Grounded Conversation Generation (GCG), supports various downstream applications like referring expression segmentation and region-level captioning, and is underpinned by the large-scale GranD dataset.; virtualhome: VirtualHome is an interactive platform designed to simulate complex household activities using programs and a Python API. It supports rich environmental interactions, multi-agent activities, and serves as an environment for embodied AI and reinforcement learning agent training.
TL;DR
Interactive visual assistants that understand and respond to user queries about specific image regions.
Training agents for embodied AI and Reinforcement Learning tasks.
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