MM

Recently, with the ever-growing scale of aesthetic assessment data, researchers have the image aesthetic assessment (IAA) task. Meanwhile, as technology developing, there are more and more human-designed digital images through software like Photoshop on ...

Within the past decade, a plethora of emerging multimedia applications and services has catalyzed the production of an enormous quantity of multimedia data. This data-driven epoch has significantly propelled the trajectory of advanced research in ...

Assessing the artness or artistic quality of AI-generated images continues to be a challenge within the realm of image generation. Most existing metrics cannot be used to perform instance-level and reference-free artness evaluation. This paper presents ...

Scene text spotting has achieved an impressive performance over recent years. Currently, most text localization methods are designed with the text line instance. We argue that building a character-level spotting network is more suited to recognize the ...

Traditional Semi-supervised Learning (SSL) methods usually assume that the labeled data is independent and identically distributed (i.i.d.) from the underlying distribution. However, several relevant researches have revealed that i.i.d. assumption may ...

In this paper, we propose Emotionally paired Music and Image Dataset (EMID), a novel dataset designed for the emotional matching of music and images, to facilitate auditory-visual cross-modal tasks such as generation and retrieval. Unlike existing ...

Recent studies have used GANs to transfer expressions between human faces. However, existing models have some flaws, such as relying on emotion labels, lacking continuous expressions, and fail- ing to capture the expression details. To address these ...

Time varying sequences of 3D point clouds, or 4D point clouds, are now being acquired at an increasing pace in several applications (personal avatar representation, LiDAR in autonomous or assisted driving). In many cases, such volume of data is ...

Wide-range image blending is a novel image processing technique that merges two different images into a panorama with a transition region. Conventional image inpainting and outpainting methods have been used to complete this task, but always create ...

Recently, text-to-image synthesis (T2I) has received extensive attention with encouraging results. However, the research still has the following challenges: 1) the quality of the synthesized images cannot be effectively guaranteed; 2) the human ...

Several works have developed end-to-end pipelines for generating lip-synced talking faces with real-world applications, such as teaching and language translation in videos. However, these prior works fail to create realistic-looking videos since they ...

Thanks to the proliferation of smartphones, taking photos is a breeze. Embarrassingly, we often find it difficult to strike a proper pose due to a lack of professional photography knowledge or guidance. The resulting photos are less than satisfactory. ...

Scene graph generation (SGG) methods have suffered from a severe training bias towards frequent (head) predicate classes. Recent works owe it to the long-tailed distribution of predicates and alleviate the long-tailed problem to conduct de-biasing. ...

Recent works on Scene Graph Generation (SGG) have been concentrating on solving the problem of long-tailed distribution. While these methods are making significant improvements on the tail predicate categories, they sacrifice the performance of the head ...

Text-to-Image (T2I) generation has long been a popular field of multimedia processing. Recent advances in large-scale vision and language pretraining have brought a number of models capable of very high-quality T2I generation. However, they are reported ...

With the proliferation of mobile photography technology, leading mobile phone manufacturers are racing to enhance the shooting capabilities of their equipment and the photo beautification algorithm of their software. However, the development of ...

In a conversation, it is crucial for the listener to provide appropriate reactions to the speaker, as the dialogue becomes challenging to sustain without the listener's involvement. Consequently, responsive listening head synthesis has become an ...