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Enhancing Descriptive Captions with Visual Attributes for Multimodal Perception
Yanpeng Sun, Jing Hao, Ke Zhu +6
Training Large Multimodality Models (LMMs) relies on descriptive image caption that connects image and language. Existing methods for generating such captions often rely on distill…
Improving Multi-modal Large Language Model through Boosting Vision Capabilities
Yanpeng Sun, Huaxin Zhang, Qiang Chen +5
We focus on improving the visual understanding capability for boosting the vision-language models. We propose \textbf{Arcana}, a multiModal language model, which introduces two cru…
CSGO: Content-Style Composition in Text-to-Image Generation
Peng Xing, Haofan Wang, Yanpeng Sun +5
The diffusion model has shown exceptional capabilities in controlled image generation, which has further fueled interest in image style transfer. Existing works mainly focus on tra…
A Recover-then-Discriminate Framework for Robust Anomaly Detection
Peng Xing, Dong Zhang, Jinhui Tang +1
Anomaly detection (AD) has been extensively studied and applied in a wide range of scenarios in the recent past. However, there are still gaps between achieved and desirable levels…
Inv-Adapter: ID Customization Generation via Image Inversion and Lightweight Adapter
Peng Xing, Ning Wang, Jianbo Ouyang +1
The remarkable advancement in text-to-image generation models significantly boosts the research in ID customization generation. However, existing personalization methods cannot sim…
VRP-SAM: SAM with Visual Reference Prompt
Yanpeng Sun, Jiahui Chen, Shan Zhang +7
In this paper, we propose a novel Visual Reference Prompt (VRP) encoder that empowers the Segment Anything Model (SAM) to utilize annotated reference images as prompts for segmenta…