Leigang Qu, Feng Cheng, Ziyan Yang, Qi Zhao, Shanchuan Lin, Yichun Shi, Yicong Li, Wenjie Wang, Tat-Seng Chua, Lu Jiang In-context image editing aims to modify images based on a contextual sequence ...
🌐 Ming-UniVision is a groundbreaking multimodal large language model (MLLM) that unifies vision understanding, generation, and editing within a single autoregressive next-token prediction (NTP) ...
Abstract: Accurate alignment of the background region can faithfully reflect the true motion of the camera， playing a critical role in applications including video stabilization and image mosaicking.
Recent advances in deep learning have enabled effective interpretation of neural activity patterns from electroencephalogram signals; however, challenges persist in invasive brain signals for ...
Abstract: Zero-shot captioning aims to describe visual content without additional paired image-text data by leveraging the potential of Visual Language Models (VLMs). Although text-only training ...
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