MC-LLaVA: Multi-Concept Personalized Vision-Language Model

Ruichuan An; Sihan Yang; Ming Lu; Renrui Zhang; Kai Zeng; Yulin Luo; Jiajun Cao; Hao Liang; Ying Chen; Qi She; Shanghang Zhang; Wentao Zhang

arXiv · 2503.18854

MC-LLaVA: Multi-Concept Personalized Vision-Language Model

Ruichuan An·Sihan Yang·Ming Lu·Renrui Zhang·Kai Zeng·Yulin Luo·Jiajun Cao·Hao Liang·Ying Chen·Qi She·Shanghang Zhang·Wentao Zhang

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Abstract

Current vision-language models (VLMs) show exceptional abilities across diverse tasks, such as visual question answering. To enhance user experience, recent studies investigate VLM personalization to understand user-provided concepts. However, they mainly focus on single-concept personalization, neglecting the existence and interplay of multiple concepts, which limits real-world applicability. This paper proposes the first multi-concept personalization paradigm, MC-LLaVA. Specifically, MC-LLaVA employs a multi-concept instruction tuning strategy, effectively integrating multiple concepts in a single training step. To reduce the costs related to joint training, we propose a personalized textual prompt that uses visual token information to initialize concept tokens. Additionally, we introduce a personalized visual prompt during inference, aggregating location confidence maps for enhanced recognition and grounding capabilities. To advance multi-concept personalization research, we further contribute a high-quality instruction tuning dataset. We carefully collect images with multiple characters and objects from movies and manually generate question-answer samples for multi-concept scenarios, featuring superior diversity. Comprehensive qualitative and quantitative experiments demonstrate that MC-LLaVA can achieve impressive multi-concept personalized responses, paving the way for VLMs to become better user-specific assistants. The code and dataset will be publicly available at https://github.com/arctanxarc/MC-LLaVA}.

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Ruichuan An, Sihan Yang, Ming Lu, Renrui Zhang, Kai Zeng, Yulin Luo, Jiajun Cao, Hao Liang, Ying Chen, Qi She, Shanghang Zhang, Wentao Zhang. 2025-03-25. MC-LLaVA: Multi-Concept Personalized Vision-Language Model. https://arxiv.org/abs/2503.18854

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