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The rapid advancement of Artificial Intelligence Generated Content (AIGC) has revolutionized video generation, enabling systems ranging from proprietary pioneers like OpenAI's Sora, Google's Veo3, and Bytedance's Seedance to powerful…

Computer Vision and Pattern Recognition · Computer Science 2026-04-09 Teng Hu , Jiangning Zhang , Hongrui Huang , Ran Yi , Zihan Su , Jieyu Weng , Zhucun Xue , Lizhuang Ma , Ming-Hsuan Yang , Dacheng Tao

Video generation aims to produce temporally coherent sequences of visual frames, representing a pivotal advancement in Artificial Intelligence Generated Content (AIGC). Compared to static image generation, video generation poses unique…

Computer Vision and Pattern Recognition · Computer Science 2026-02-19 Zhiyu Yin , Kehai Chen , Xuefeng Bai , Ruili Jiang , Juntao Li , Hongdong Li , Jin Liu , Yang Xiang , Jun Yu , Min Zhang

The recent wave of AI-generated content (AIGC) has witnessed substantial success in computer vision, with the diffusion model playing a crucial role in this achievement. Due to their impressive generative capabilities, diffusion models are…

Computer Vision and Pattern Recognition · Computer Science 2024-09-17 Zhen Xing , Qijun Feng , Haoran Chen , Qi Dai , Han Hu , Hang Xu , Zuxuan Wu , Yu-Gang Jiang

Generative models hold promise for revolutionizing medical education, robot-assisted surgery, and data augmentation for machine learning. Despite progress in generating 2D medical images, the complex domain of clinical video generation has…

Computer Vision and Pattern Recognition · Computer Science 2024-03-19 Chenxin Li , Hengyu Liu , Yifan Liu , Brandon Y. Feng , Wuyang Li , Xinyu Liu , Zhen Chen , Jing Shao , Yixuan Yuan

An image may convey a thousand words, but a video composed of hundreds or thousands of image frames tells a more intricate story. Despite significant progress in multimodal large language models (MLLMs), generating extended videos remains a…

Computer Vision and Pattern Recognition · Computer Science 2025-08-06 Faraz Waseem , Muhammad Shahzad

The growing capabilities of AI in generating video content have brought forward significant challenges in effectively evaluating these videos. Unlike static images or text, video content involves complex spatial and temporal dynamics which…

Computer Vision and Pattern Recognition · Computer Science 2026-03-23 Xiao Liu , Xinhao Xiang , Zizhong Li , Yongheng Wang , Zhuoheng Li , Zhuosheng Liu , Weidi Zhang , Weiqi Ye , Jiawei Zhang

Artificial intelligence generated content (AIGC), a rapidly advancing technology, is transforming content creation across domains, such as text, images, audio, and video. Its growing potential has attracted more and more researchers and…

Artificial Intelligence · Computer Science 2026-03-03 Chengzhang Zhu , Luobin Cui , Ying Tang , Jiacun Wang

Recent years have witnessed remarkable advances in artificial intelligence generated content(AIGC), with diverse input modalities, e.g., text, image, video, audio and 3D. The 3D is the most close visual modality to real-world 3D environment…

Computer Vision and Pattern Recognition · Computer Science 2024-03-20 Jian Liu , Xiaoshui Huang , Tianyu Huang , Lu Chen , Yuenan Hou , Shixiang Tang , Ziwei Liu , Wanli Ouyang , Wangmeng Zuo , Junjun Jiang , Xianming Liu

The rapid advancement of Generative AI (Gen-AI) is transforming Human-Computer Interaction (HCI), with significant implications across various sectors. This study investigates the public's perception of Sora OpenAI, a pioneering Gen-AI…

Computers and Society · Computer Science 2024-03-27 Reza Hadi Mogavi , Derrick Wang , Joseph Tu , Hilda Hadan , Sabrina A. Sgandurra , Pan Hui , Lennart E. Nacke

Generative models hold promise for revolutionizing medical education, robot-assisted surgery, and data augmentation for medical AI development. Diffusion models can now generate realistic images from text prompts, while recent advancements…

Computer Vision and Pattern Recognition · Computer Science 2024-07-17 Weixiang Sun , Xiaocao You , Ruizhe Zheng , Zhengqing Yuan , Xiang Li , Lifang He , Quanzheng Li , Lichao Sun

Modeling disease progression is crucial for improving the quality and efficacy of clinical diagnosis and prognosis, but it is often hindered by a lack of longitudinal medical image monitoring for individual patients. To address this…

Computer Vision and Pattern Recognition · Computer Science 2024-11-20 Xu Cao , Kaizhao Liang , Kuei-Da Liao , Tianren Gao , Wenqian Ye , Jintai Chen , Zhiguang Ding , Jianguo Cao , James M. Rehg , Jimeng Sun

Motion generation, the task of synthesizing realistic motion sequences from various conditioning inputs, has become a central problem in computer vision, computer graphics, and robotics, with applications ranging from animation and virtual…

Computer Vision and Pattern Recognition · Computer Science 2025-07-09 Aliasghar Khani , Arianna Rampini , Bruno Roy , Larasika Nadela , Noa Kaplan , Evan Atherton , Derek Cheung , Jacky Bibliowicz

Animation has gained significant interest in the recent film and TV industry. Despite the success of advanced video generation models like Sora, Kling, and CogVideoX in generating natural videos, they lack the same effectiveness in handling…

With the rapid development of AI-generated content (AIGC), video generation has emerged as one of its most dynamic and impactful subfields. In particular, the advancement of video generation foundation models has led to growing demand for…

With the continuous advancement of technology, artificial intelligence has significantly impacted various fields, particularly healthcare. Generative models, a key AI technology, have revolutionized medical image generation, data analysis,…

Machine Learning · Computer Science 2024-10-10 Yuan Sun , Jorge Ortiz

The development of AI-Generated Content (AIGC) has empowered the creation of remarkably realistic AI-generated videos, such as those involving Sora. However, the widespread adoption of these models raises concerns regarding potential…

Computer Vision and Pattern Recognition · Computer Science 2024-05-27 Lichuan Ji , Yingqi Lin , Zhenhua Huang , Yan Han , Xiaogang Xu , Jiafei Wu , Chong Wang , Zhe Liu

Video generation models have emerged as high-fidelity models of the physical world, capable of synthesizing high-quality videos capturing fine-grained interactions between agents and their environments conditioned on multi-modal user…

Recent advances in video generation have shown remarkable progress in open-domain settings, yet medical video generation remains largely underexplored. Medical videos are critical for applications such as clinical training, education, and…

Computer Vision and Pattern Recognition · Computer Science 2025-07-09 Rongsheng Wang , Junying Chen , Ke Ji , Zhenyang Cai , Shunian Chen , Yunjin Yang , Benyou Wang

With impressive achievements made, artificial intelligence is on the path forward to artificial general intelligence. Sora, developed by OpenAI, which is capable of minute-level world-simulative abilities can be considered as a milestone on…

Computer Vision and Pattern Recognition · Computer Science 2024-05-20 Rui Sun , Yumin Zhang , Tejal Shah , Jiahao Sun , Shuoying Zhang , Wenqi Li , Haoran Duan , Bo Wei , Rajiv Ranjan

Artificial Intelligence Generated Content (AIGC) has rapidly emerged with the capability to generate different forms of content, including text, images, videos, and other modalities, which can achieve a quality similar to content created by…

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