LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing

Code

• github.com/ux-decoder/segment-everything-everywhere-all-at-once
  pytorch★ 4,771
• github.com/gligen/GLIGEN
  pytorch★ 2,212

Abstract

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.

Tasks

Reproductions