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In recent years, AI generative models have made remarkable progress across various domains, including text generation, image generation, and video generation. However, assessing the quality of text-to-video generation is still in its…

Computer Vision and Pattern Recognition · Computer Science 2024-09-24 Xinli Yue , Jianhui Sun , Han Kong , Liangchao Yao , Tianyi Wang , Lei Li , Fengyun Rao , Jing Lv , Fan Xia , Yuetang Deng , Qian Wang , Lingchen Zhao

Despite tremendous progress in dexterous manipulation, current visuomotor policies remain fundamentally limited by two challenges: they struggle to generalize under perceptual or behavioral distribution shifts, and their performance is…

Robotics · Computer Science 2025-08-04 Junbang Liang , Pavel Tokmakov , Ruoshi Liu , Sruthi Sudhakar , Paarth Shah , Rares Ambrus , Carl Vondrick

With the increasing interest in the content creation field in multiple sectors such as media, education, and entertainment, there is an increasing trend in the papers that uses AI algorithms to generate content such as images, videos,…

Computer Vision and Pattern Recognition · Computer Science 2020-11-05 Nuha Aldausari , Arcot Sowmya , Nadine Marcus , Gelareh Mohammadi

Video generation is a rapidly advancing research area, garnering significant attention due to its broad range of applications. One critical aspect of this field is the generation of long-duration videos, which presents unique challenges and…

Computer Vision and Pattern Recognition · Computer Science 2024-03-26 Chengxuan Li , Di Huang , Zeyu Lu , Yang Xiao , Qingqi Pei , Lei Bai

The field of Artificial Intelligence in healthcare is evolving at an unprecedented pace, driven by rapid advancements in machine learning and the recent breakthroughs in large language models. While these innovations hold immense potential…

Computers and Society · Computer Science 2025-03-11 Yuanyun Zhang , Shi Li

In recent years, artificial intelligence (AI) has made significant progress in the field of music generation, driving innovation in music creation and applications. This paper provides a systematic review of the latest research advancements…

Sound · Computer Science 2024-09-06 Yanxu Chen , Linshu Huang , Tian Gou

Generative AI (GenAI) is transforming filmmaking, equipping artists with tools like text-to-image and image-to-video diffusion, neural radiance fields, avatar generation, and 3D synthesis. This paper examines the adoption of these…

This paper explores the burgeoning field of 3D content generation within the landscape of Artificial Intelligence Generated Content (AIGC) and large-scale models. It investigates innovative methods like Text-to-3D and Image-to-3D, which…

Graphics · Computer Science 2024-05-27 Ke Zhao , Andreas Larsen

With the rapid development of AI-generated content (AIGC), the creation of high-quality AI-generated videos has become faster and easier, resulting in the Internet being flooded with all kinds of video content. However, the impact of these…

Information Retrieval · Computer Science 2025-07-30 Haowen Gao , Liang Pang , Shicheng Xu , Leigang Qu , Tat-Seng Chua , Huawei Shen , Xueqi Cheng

The advent of AI has influenced many aspects of human life, from self-driving cars and intelligent chatbots to text-based image and video generation models capable of creating realistic images and videos based on user prompts…

Computer Vision and Pattern Recognition · Computer Science 2024-10-22 Abhijay Ghildyal , Yuanhan Chen , Saman Zadtootaghaj , Nabajeet Barman , Alan C. Bovik

AI-generated content (AIGC) is rapidly improving, creating an urgent need for detectors that generalize across data sources, deployment pipelines, and visual modalities. A strongly generalizable detector should remain robust under…

Computer Vision and Pattern Recognition · Computer Science 2026-05-22 Zhengcen Li , Chenyang Jiang , Liangxu Su , Tong Shao , Shiyang Zhou , Ming Tao , Jingyong Su

Recent advances in Generative AI (GenAI) have led to significant improvements in the quality of generated visual content. As AI-generated visual content becomes increasingly indistinguishable from real content, the challenge of detecting…

Computer Vision and Pattern Recognition · Computer Science 2025-07-18 Keerthi Veeramachaneni , Praveen Tirupattur , Amrit Singh Bedi , Mubarak Shah

The burgeoning growth of video-to-music generation can be attributed to the ascendancy of multimodal generative models. However, there is a lack of literature that comprehensively combs through the work in this field. To fill this gap, this…

Audio and Speech Processing · Electrical Eng. & Systems 2025-12-23 Shulei Ji , Songruoyao Wu , Zihao Wang , Shuyu Li , Kejun Zhang

The medical field is one of the important fields in the application of artificial intelligence technology. With the explosive growth and diversification of medical data, as well as the continuous improvement of medical needs and challenges,…

Artificial Intelligence · Computer Science 2024-03-27 Jingyu Xu , Binbin Wu , Jiaxin Huang , Yulu Gong , Yifan Zhang , Bo Liu

Recent advances in generative AI have brought incredible breakthroughs in several areas, including medical imaging. These generative models have tremendous potential not only to help safely share medical data via synthetic datasets but also…

The rapid advancement of video generation models has made it increasingly challenging to distinguish AI-generated videos from real ones. This issue underscores the urgent need for effective AI-generated video detectors to prevent the…

Computer Vision and Pattern Recognition · Computer Science 2026-03-02 Zhenliang Ni , Qiangyu Yan , Mouxiao Huang , Tianning Yuan , Yehui Tang , Hailin Hu , Xinghao Chen , Yunhe Wang

Video generation assessment is essential for ensuring that generative models produce visually realistic, high-quality videos while aligning with human expectations. Current video generation benchmarks fall into two main categories:…

Computer Vision and Pattern Recognition · Computer Science 2025-04-30 Hui Han , Siyuan Li , Jiaqi Chen , Yiwen Yuan , Yuling Wu , Chak Tou Leong , Hanwen Du , Junchen Fu , Youhua Li , Jie Zhang , Chi Zhang , Li-jia Li , Yongxin Ni

Image generation has advanced rapidly over the past decade, yet the literature seems fragmented across different models and application domains. This paper aims to offer a comprehensive survey of breakthrough image generation models,…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Rouzbeh Shirvani

The recently developed Sora model [1] has exhibited remarkable capabilities in video generation, sparking intense discussions regarding its ability to simulate real-world phenomena. Despite its growing popularity, there is a lack of…

Computer Vision and Pattern Recognition · Computer Science 2024-02-28 Xuanyi Li , Daquan Zhou , Chenxu Zhang , Shaodong Wei , Qibin Hou , Ming-Ming Cheng

Video-based world models have recently garnered increasing attention for their ability to synthesize diverse and dynamic visual environments. In this paper, we focus on shared world modeling, where a model generates multiple videos from a…

Computer Vision and Pattern Recognition · Computer Science 2025-12-03 Fan Wu , Jiacheng Wei , Ruibo Li , Yi Xu , Junyou Li , Deheng Ye , Guosheng Lin