LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing
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Cited by 20 in Multimodal LLMs / vision-language models, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
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.
Key facts. Cited by 47 papers in the map (data through 14 Oct 2026). Builds on 27 of its 36 references that are in the map. First posted on arXiv 1 Nov 2023.
Builds on
27 of 36 references.
References · 27
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- 2023Kosmos-G: Generating Images in Context with Multimodal Large Language Modelscited by 105
- 2022Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Taskscited by 57
- 2021Towards General Purpose Vision Systemscited by 46
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