4 papers
RAVA: Retrieval-Augmented Viewpoint Alignment for Subject-Driven Image Generation
Qiwei Yan, Zhiqiang Yuan, Chongyang Li +4
Reference-driven image generation has made rapid progress on identity preservation, but reliable viewpoint control across different subjects remains poorly understood. The difficul…
Fine-grained Fragment Retrieval in Multi-modal Long-form Dialogues
Hanbo Bi, Zhiqiang Yuan, Chongyang Li +7
With the widespread adoption of multi-modal communication platforms, long-form dialogues interleaving text and images have become increasingly common. Users often need to retrieve…
Less Redundancy: Boosting Practicality of Vision Language Model in Walking Assistants
Chongyang Li, Zhiqiang Yuan, Hanbo Bi +2
Approximately 283 million people worldwide live with visual impairments, motivating increasing research into leveraging Visual Language Models (VLMs) to develop effective walking a…
F2RVLM: Boosting Fine-grained Fragment Retrieval for Multi-Modal Long-form Dialogue with Vision Language Model
Hanbo Bi, Zhiqiang Yuan, Zexi Jia +6
Traditional dialogue retrieval aims to select the most appropriate utterance or image from recent dialogue history. However, they often fail to meet users' actual needs for revisit…