Image captioning refers to automatic generation of descriptive texts according to the visual
content of images. It is a technique integrating multiple disciplines including the computer …

Recent advances in image captioning have focused on scaling the data and model size,
substantially increasing the cost of pre-training and finetuning. As an alternative to large …

Talking head video generation aims to animate a human face in a still image with dynamic
poses and expressions using motion information derived from a target-driving video, while …

The development of Artificial Intelligence Generated Content (AIGC) has been facilitated by
advancements in model algorithms, scalable foundation model architectures, and the …

Both accuracy and efficiency are crucial for image captioning in real-world scenarios.
Although Transformer-based models have gained significant improved captioning …

Large language models (LLMs)-based image captioning has the capability of describing
objects not explicitly observed in training data; yet novel objects occur frequently …

Video captioning focuses on generating natural language descriptions according to the
video content. Existing works mainly explore this multimodal learning with the paired source …

Recently, attention-based image captioning models, which are expected to ground correct
image regions for proper word generations, have achieved remarkable performance …

Inspired by retrieval-augmented language generation and pretrained Vision and Language
(V&L) encoders, we present a new approach to image captioning that generates sentences …

Attention mechanisms have been extensively adopted in vision and language tasks such as
image captioning. It encourages a captioning model to dynamically ground appropriate …