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cs.CV2024
AVG-LLaVA: An Efficient Large Multimodal Model with Adaptive Visual Granularity
Zhibin Lan, Liqiang Niu, Fandong Meng +3
Recently, large multimodal models (LMMs) have achieved significant advancements. When dealing with high-resolution images, dominant LMMs typically divide them into multiple local i…
cs.CV2024★ 1 cited
MaskMamba: A Hybrid Mamba-Transformer Model for Masked Image Generation
Wenchao Chen, Liqiang Niu, Ziyao Lu +2
Image generation models have encountered challenges related to scalability and quadratic complexity, primarily due to the reliance on Transformer-based backbones. In this study, we…
cs.CL2024
Translatotron-V(ison): An End-to-End Model for In-Image Machine Translation
Zhibin Lan, Liqiang Niu, Fandong Meng +3
In-image machine translation (IIMT) aims to translate an image containing texts in source language into an image containing translations in target language. In this regard, convent…