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Large language models (LLMs) have achieved remarkable success across various domains, but effectively incorporating complex and potentially noisy user timeline data into LLMs remains a challenge. Current approaches often involve translating…

Computation and Language · Computer Science 2024-09-11 Lin Ning , Luyang Liu , Jiaxing Wu , Neo Wu , Devora Berlowitz , Sushant Prakash , Bradley Green , Shawn O'Banion , Jun Xie

Recent advancements in object-centric text-to-3D generation have shown impressive results. However, generating complex 3D scenes remains an open challenge due to the intricate relations between objects. Moreover, existing methods are…

Computer Vision and Pattern Recognition · Computer Science 2024-12-31 Yu-Hsiang Huang , Wei Wang , Sheng-Yu Huang , Yu-Chiang Frank Wang

Generating coherent and useful image/video scenes from a free-form textual description is technically a very difficult problem to handle. Textual description of the same scene can vary greatly from person to person, or sometimes even for…

Computer Vision and Pattern Recognition · Computer Science 2020-12-01 Faria Huq , Nafees Ahmed , Anindya Iqbal

Large Language Models (LLMs) excel in various natural language processing tasks, but leveraging them for dense passage embedding remains challenging. This is due to their causal attention mechanism and the misalignment between their…

Computation and Language · Computer Science 2024-08-08 Hieu Man , Nghia Trung Ngo , Franck Dernoncourt , Thien Huu Nguyen

The integration of large language models (LLMs) with robotics has significantly advanced robots' abilities in perception, cognition, and task planning. The use of natural language interfaces offers a unified approach for expressing the…

Robotics · Computer Science 2024-09-27 Wenhao Yu , Jie Peng , Yueliang Ying , Sai Li , Jianmin Ji , Yanyong Zhang

This thesis presents a framework that integrates state-of-the-art generative AI models for real-time creation of three-dimensional (3D) objects in augmented reality (AR) environments. The primary goal is to convert diverse inputs, such as…

Graphics · Computer Science 2025-02-25 Majid Behravan

This work investigates a challenging task named open-domain interleaved image-text generation, which generates interleaved texts and images following an input query. We propose a new interleaved generation framework based on prompting…

Computer Vision and Pattern Recognition · Computer Science 2023-11-07 Jie An , Zhengyuan Yang , Linjie Li , Jianfeng Wang , Kevin Lin , Zicheng Liu , Lijuan Wang , Jiebo Luo

Simulation is an invaluable tool for developing and evaluating controllers for self-driving cars. Current simulation frameworks are driven by highly-specialist domain specific languages, and so a natural language interface would greatly…

Artificial Intelligence · Computer Science 2023-10-27 Antonio Valerio Miceli-Barone , Alex Lascarides , Craig Innes

Text animation, a foundational element in video creation, enables efficient and cost-effective communication, thriving in advertisements, journalism, and social media. However, traditional animation workflows present significant usability…

Human-Computer Interaction · Computer Science 2025-06-13 Bao Zhang , Zihan Li , Zhenglei Liu , Huanchen Wang , Yuxin Ma

The topic of Co-creation, i.e., AI agents interacting with humans to generate outputs (e.g., art), has gained significant attention recently. However, most studies focus on adult-human interactions in a digital setting. This paper explores…

Artificial Intelligence · Computer Science 2026-05-29 Arturo Valdivia , Paolo Burelli

The integration of Large Language Models (LLMs) like GPT-4 with Extended Reality (XR) technologies offers the potential to build truly immersive XR environments that interact with human users through natural language, e.g., generating and…

Multimedia · Computer Science 2025-03-21 Jiangong Chen , Xiaoyi Wu , Tian Lan , Bin Li

We propose a method to fuse frozen text-only large language models (LLMs) with pre-trained image encoder and decoder models, by mapping between their embedding spaces. Our model demonstrates a wide suite of multimodal capabilities: image…

Computation and Language · Computer Science 2023-10-16 Jing Yu Koh , Daniel Fried , Ruslan Salakhutdinov

Large language models (LLMs)-based code generation for robotic manipulation has recently shown promise by directly translating human instructions into executable code, but existing methods remain noisy, constrained by fixed primitives and…

Robotics · Computer Science 2025-09-26 Yuan Meng , Zhenguo Sun , Max Fest , Xukun Li , Zhenshan Bing , Alois Knoll

With the rapid advancement of artificial intelligence and robotics, the integration of Large Language Models (LLMs) with 3D vision is emerging as a transformative approach to enhancing robotic sensing technologies. This convergence enables…

Robotics · Computer Science 2025-11-19 Vinit Mehta , Charu Sharma , Karthick Thiyagarajan

Cutscenes are carefully choreographed cinematic sequences embedded in video games and interactive media, serving as the primary vehicle for narrative delivery, character development, and emotional engagement. Producing cutscenes is…

3D scene generation plays a crucial role in gaming, artistic creation, virtual reality, and many other domains. However, current 3D scene design still relies heavily on extensive manual effort from creators, and existing automated methods…

Computer Vision and Pattern Recognition · Computer Science 2025-12-22 Zixuan Bian , Ruohan Ren , Yue Yang , Chris Callison-Burch

This paper proposes "3Dify," a procedural 3D computer graphics (3D-CG) generation framework utilizing Large Language Models (LLMs). The framework enables users to generate 3D-CG content solely through natural language instructions. 3Dify is…

Graphics · Computer Science 2025-10-07 Shun-ichiro Hayashi , Daichi Mukunoki , Tetsuya Hoshino , Satoshi Ohshima , Takahiro Katagiri

Video generation has achieved remarkable progress in visual fidelity and controllability, enabling conditioning on text, layout, or motion. Among these, motion control - specifying object dynamics and camera trajectories - is essential for…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Muhammed Burak Kizil , Enes Sanli , Niloy J. Mitra , Erkut Erdem , Aykut Erdem , Duygu Ceylan

Text-to-3D scene generation from natural language is highly desirable for digital content creation. However, existing methods are largely domain-restricted or reliant on predefined spatial relationships, limiting their capacity for…

Computer Vision and Pattern Recognition · Computer Science 2026-03-13 Jun Luo , Jiaxiang Tang , Ruijie Lu , Gang Zeng

Utilizing Large Language Models (LLMs) for complex tasks is challenging, often involving a time-consuming and uncontrollable prompt engineering process. This paper introduces a novel human-LLM interaction framework, Low-code LLM. It…

Computation and Language · Computer Science 2024-04-02 Yuzhe Cai , Shaoguang Mao , Wenshan Wu , Zehua Wang , Yaobo Liang , Tao Ge , Chenfei Wu , Wang You , Ting Song , Yan Xia , Jonathan Tien , Nan Duan , Furu Wei