12 citations · 22 across the 2 of their papers we have counts for
4 papers
TIE: Revolutionizing Text-based Image Editing for Complex-Prompt Following and High-Fidelity Editing
Xinyu Zhang, Mengxue Kang, Fei Wei +3
As the field of image generation rapidly advances, traditional diffusion models and those integrated with multimodal large language models (LLMs) still encounter limitations in int…
MobileVLM V2: Faster and Stronger Baseline for Vision Language Model
Xiangxiang Chu, Limeng Qiao, Xinyu Zhang +8
We introduce MobileVLM V2, a family of significantly improved vision language models upon MobileVLM, which proves that a delicate orchestration of novel architectural design, an im…
MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices
Xiangxiang Chu, Limeng Qiao, Xinyang Lin +8
We present MobileVLM, a competent multimodal vision language model (MMVLM) targeted to run on mobile devices. It is an amalgamation of a myriad of architectural designs and techniq…
RobustCalib: Robust Lidar-Camera Extrinsic Calibration with Consistency Learning
Shuang Xu, Sifan Zhou, Zhi Tian +3
Current traditional methods for LiDAR-camera extrinsics estimation depend on offline targets and human efforts, while learning-based approaches resort to iterative refinement for c…