LLaVA-Interactive is a research prototype for multimodal human-AI interaction. The system can have multi-turn dialogues with human users by taking multimodal user inputs and generating multimodal responses. Importantly, LLaVA-Interactive goes beyond language prompt, where visual prompt is enabled to align human intents in the interaction. The development of LLaVA-Interactive is extremely cost-efficient as the system combines three multimodal skills of pre-built AI models without additional model training: visual chat of LLaVA, image segmentation from SEEM, as well as image generation and editing from GLIGEN. A diverse set of application scenarios is presented to demonstrate the promises of LLaVA-Interactive and to inspire future research in multimodal interactive systems.
@article{arxiv.2311.00571,
title = {LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing},
author = {Wei-Ge Chen and Irina Spiridonova and Jianwei Yang and Jianfeng Gao and Chunyuan Li},
journal= {arXiv preprint arXiv:2311.00571},
year = {2023}
}