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Text to video generation has emerged as a critical frontier in generative artificial intelligence, yet existing approaches struggle with maintaining temporal consistency, compositional understanding, and fine grained control over visual…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Piyushkumar Patel

We address the challenging task of text-driven 3D human-object interaction (HOI) motion generation. Existing methods primarily rely on a direct text-to-HOI mapping, which suffers from three key limitations due to the significant…

Computer Vision and Pattern Recognition · Computer Science 2026-02-12 Yin Wang , Ziyao Zhang , Zhiying Leng , Haitian Liu , Frederick W. B. Li , Mu Li , Xiaohui Liang

In this study, we tackle the complex task of generating 3D human-object interactions (HOI) from textual descriptions in a zero-shot text-to-3D manner. We identify and address two key challenges: the unsatisfactory outcomes of direct…

Computer Vision and Pattern Recognition · Computer Science 2024-07-17 Sisi Dai , Wenhao Li , Haowen Sun , Haibin Huang , Chongyang Ma , Hui Huang , Kai Xu , Ruizhen Hu

Text-to-video (T2V) generative models have advanced significantly, yet their ability to compose different objects, attributes, actions, and motions into a video remains unexplored. Previous text-to-video benchmarks also neglect this…

Computer Vision and Pattern Recognition · Computer Science 2025-01-16 Kaiyue Sun , Kaiyi Huang , Xian Liu , Yue Wu , Zihan Xu , Zhenguo Li , Xihui Liu

Video generation models are revolutionizing content creation, with image-to-video models drawing increasing attention due to their enhanced controllability, visual consistency, and practical applications. However, despite their popularity,…

Computer Vision and Pattern Recognition · Computer Science 2025-07-10 Wenhao Wang , Yi Yang

Advances in video generation have significantly improved the realism and quality of created scenes. This has fueled interest in developing intuitive tools that let users leverage video generation as world simulators. Text-to-video (T2V)…

Computer Vision and Pattern Recognition · Computer Science 2026-04-03 Zuhao Liu , Aleksandar Yanev , Ahmad Mahmood , Ivan Nikolov , Saman Motamed , Wei-Shi Zheng , Xi Wang , Lei Sun , Luc Van Gool , Danda Pani Paudel

Image-to-video (I2V) generation seeks to produce realistic motion sequences from a single reference image. Although recent methods exhibit strong temporal consistency, they often struggle when dealing with complex, non-repetitive human…

Computer Vision and Pattern Recognition · Computer Science 2025-07-01 Ashkan Taghipour , Morteza Ghahremani , Mohammed Bennamoun , Farid Boussaid , Aref Miri Rekavandi , Zinuo Li , Qiuhong Ke , Hamid Laga

Human-centric video generation has advanced rapidly, yet existing methods struggle to produce controllable and physically consistent Human-Object Interaction (HOI) videos. Existing works rely on dense control signals, template videos, or…

Computer Vision and Pattern Recognition · Computer Science 2026-03-11 Jiazhi Guan , Quanwei Yang , Luying Huang , Junhao Liang , Borong Liang , Haocheng Feng , Wei He , Kaisiyuan Wang , Hang Zhou , Jingdong Wang

Generating consistent long videos is a complex challenge: while diffusion-based generative models generate visually impressive short clips, extending them to longer durations often leads to memory bottlenecks and long-term inconsistency. In…

Computer Vision and Pattern Recognition · Computer Science 2025-07-22 Wenqi Ouyang , Zeqi Xiao , Danni Yang , Yifan Zhou , Shuai Yang , Lei Yang , Jianlou Si , Xingang Pan

Human motion synthesis in complex scenes presents a fundamental challenge, extending beyond conventional Text-to-Motion tasks by requiring the integration of diverse modalities such as static environments, movable objects, natural language…

Graphics · Computer Science 2025-05-20 Zichen Geng , Zeeshan Hayder , Wei Liu , Ajmal Mian

Generating physically realistic humanoid-object interactions (HOI) is a fundamental challenge in robotics. Existing HOI generation approaches, such as diffusion-based models, often suffer from artifacts such as implausible contacts,…

Robotics · Computer Science 2025-08-21 Yuhang Lin , Yijia Xie , Jiahong Xie , Yuehao Huang , Ruoyu Wang , Jiajun Lv , Yukai Ma , Xingxing Zuo

Human-object interaction (HOI) detection aims to localize human-object pairs and the interactions between them. Existing methods operate under a closed-world assumption, treating the task as a classification problem over a small, predefined…

Computer Vision and Pattern Recognition · Computer Science 2025-12-22 Zhaolin Cai , Huiyu Duan , Zitong Xu , Fan Li , Zhi Liu , Jing Liu , Wei Shen , Xiongkuo Min , Guangtao Zhai

Large-scale text-to-image (T2I) diffusion models have showcased incredible capabilities in generating coherent images based on textual descriptions, enabling vast applications in content generation. While recent advancements have introduced…

Computer Vision and Pattern Recognition · Computer Science 2024-02-28 Jiun Tian Hoe , Xudong Jiang , Chee Seng Chan , Yap-Peng Tan , Weipeng Hu

Despite diffusion models having shown powerful abilities to generate photorealistic images, generating videos that are realistic and diverse still remains in its infancy. One of the key reasons is that current methods intertwine spatial…

Computer Vision and Pattern Recognition · Computer Science 2023-12-08 Zhiwu Qing , Shiwei Zhang , Jiayu Wang , Xiang Wang , Yujie Wei , Yingya Zhang , Changxin Gao , Nong Sang

Recent advances in 3D human-aware generation have made significant progress. However, existing methods still struggle with generating novel Human Object Interaction (HOI) from text, particularly for open-set objects. We identify three main…

Computer Vision and Pattern Recognition · Computer Science 2025-06-02 Jinlu Zhang , Yixin Chen , Zan Wang , Jie Yang , Yizhou Wang , Siyuan Huang

Video generation models have developed rapidly in recent years, where generating natural human motion plays a pivotal role. However, accurately evaluating the quality of generated human motion video remains a significant challenge. Existing…

Computer Vision and Pattern Recognition · Computer Science 2026-04-29 Bingzi Zhang , Kaisi Guan , Ruihua Song

Generative models have demonstrated remarkable capability in synthesizing high-quality text, images, and videos. For video generation, contemporary text-to-video models exhibit impressive capabilities, crafting visually stunning videos.…

Computer Vision and Pattern Recognition · Computer Science 2024-01-17 Jay Zhangjie Wu , Guian Fang , Haoning Wu , Xintao Wang , Yixiao Ge , Xiaodong Cun , David Junhao Zhang , Jia-Wei Liu , Yuchao Gu , Rui Zhao , Weisi Lin , Wynne Hsu , Ying Shan , Mike Zheng Shou

Creating editable videos that depict complex interactions between multiple objects in various artistic styles has long been a challenging task in filmmaking. Progress is often hampered by the scarcity of data sets that contain paired text…

Computer Vision and Pattern Recognition · Computer Science 2024-08-30 Anisha Jain

Recent Text-to-Image (T2I) generation models such as Stable Diffusion and Imagen have made significant progress in generating high-resolution images based on text descriptions. However, many generated images still suffer from issues such as…

Open-vocabulary human-object interaction (HOI) detection, which is concerned with the problem of detecting novel HOIs guided by natural language, is crucial for understanding human-centric scenes. However, prior zero-shot HOI detectors…

Computer Vision and Pattern Recognition · Computer Science 2024-04-11 Ting Lei , Shaofeng Yin , Yang Liu