As information exists in various modalities in real world, effective interaction and fusion
among multimodal information plays a key role for the creation and perception of multimodal …

The incredible generative ability of large-scale text-to-image (T2I) models has demonstrated
strong power of learning complex structures and meaningful semantics. However, relying …

In the text-to-image generation field, recent remarkable progress in Stable Diffusion makes it
possible to generate rich kinds of novel photorealistic images. However, current models still …

Generative AI (GenAI) has witnessed remarkable progress in recent years and
demonstrated impressive performance in various generation tasks in different domains such …

The field of autonomous driving increasingly demands high-quality annotated training data.
In this paper we propose Panacea an innovative approach to generate panoramic and …

With the significant advancements in artificial intelligence (AI) technologies and
computational capabilities, generative AI (GAI) has become a pivotal digital content …

Using synthesized images to boost the performance of perception models is a long-standing
research challenge in computer vision. It becomes more eminent in visual-centric …

Optical flow estimation a process of predicting pixel-wise displacement between consecutive
frames has commonly been approached as a regression task in the age of deep learning …

Conventional image outpainting methods usually treat unobserved areas as unknown and
extend the scene only in terms of semantic consistency thus overlooking the hidden …

Data augmentation is vital for object detection tasks that require expensive bounding box
annotations. Recent successes in diffusion models have inspired the use of diffusion-based …