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Attaining a high degree of user controllability in visual generation often requires intricate, fine-grained inputs like layouts. However, such inputs impose a substantial burden on users when compared to simple text inputs. To address the…

Computer Vision and Pattern Recognition · Computer Science 2023-10-31 Weixi Feng , Wanrong Zhu , Tsu-jui Fu , Varun Jampani , Arjun Akula , Xuehai He , Sugato Basu , Xin Eric Wang , William Yang Wang

The rapid advancement of Large Language Models (LLMs) has revolutionized various sectors by automating routine tasks, marking a step toward the realization of Artificial General Intelligence (AGI). However, they still struggle to…

Machine Learning · Computer Science 2024-02-21 Zihao Tang , Zheqi Lv , Shengyu Zhang , Fei Wu , Kun Kuang

AI tasks encompass a wide range of domains and fields. While numerous AI models have been designed for specific tasks and applications, they often require considerable human efforts in finding the right model architecture, optimization…

Computation and Language · Computer Science 2023-05-05 Shujian Zhang , Chengyue Gong , Lemeng Wu , Xingchao Liu , Mingyuan Zhou

Remarkable progress has been made on automated problem solving through societies of agents based on large language models (LLMs). Existing LLM-based multi-agent systems can already solve simple dialogue tasks. Solutions to more complex…

Generating 3D models has traditionally been a complex task requiring specialized expertise. While recent advances in generative AI have sought to automate this process, existing methods produce non-editable representation, such as meshes or…

Graphics · Computer Science 2026-01-21 Fadlullah Raji , Stefano Petrangeli , Matheus Gadelha , Yu Shen , Uttaran Bhattacharya , Gang Wu

With the emerging trend of GPT models, we have established a framework called AutoML-GPT that integrates a comprehensive set of tools and libraries. This framework grants users access to a wide range of data preprocessing techniques,…

Machine Learning · Computer Science 2023-09-06 Yun-Da Tsai , Yu-Che Tsai , Bo-Wei Huang , Chun-Pai Yang , Shou-De Lin

We introduce Action-GPT, a plug-and-play framework for incorporating Large Language Models (LLMs) into text-based action generation models. Action phrases in current motion capture datasets contain minimal and to-the-point information. By…

Computer Vision and Pattern Recognition · Computer Science 2023-03-08 Sai Shashank Kalakonda , Shubh Maheshwari , Ravi Kiran Sarvadevabhatla

The disruptive technology provided by large-scale pre-trained language models (LLMs) such as ChatGPT or GPT-4 has received significant attention in several application domains, often with an emphasis on high-level opportunities and…

Human-Computer Interaction · Computer Science 2023-06-27 Philippe J. Giabbanelli

In the realm of Business Process Management (BPM), process modeling plays a crucial role in translating complex process dynamics into comprehensible visual representations, facilitating the understanding, analysis, improvement, and…

Software Engineering · Computer Science 2024-07-01 Humam Kourani , Alessandro Berti , Daniel Schuster , Wil M. P. van der Aalst

The advancement of Large Language Models (LLMs), including GPT-4, provides exciting new opportunities for generative design. We investigate the application of this tool across the entire design and manufacturing workflow. Specifically, we…

Since the advent of Large Language Models (LLMs), various research based on such models have maintained significant academic attention and impact, especially in AI and robotics. In this paper, we propose a multi-agent framework with LLMs to…

Robotics · Computer Science 2025-05-12 Junhong Chen , Ziqi Yang , Haoyuan G Xu , Dandan Zhang , George Mylonas

Recent advancements in implicit 3D representations and generative models have markedly propelled the field of 3D object generation forward. However, it remains a significant challenge to accurately model geometries with defined sharp…

Graphics · Computer Science 2024-01-17 Zeqing Yuan , Haoxuan Lan , Qiang Zou , Junbo Zhao

We present LL3M, a multi-agent system that leverages pretrained large language models (LLMs) to generate 3D assets by writing interpretable Python code in Blender. We break away from the typical generative approach that learns from a…

Graphics · Computer Science 2025-08-12 Sining Lu , Guan Chen , Nam Anh Dinh , Itai Lang , Ari Holtzman , Rana Hanocka

Gestures perform a variety of communicative functions that powerfully influence human face-to-face interaction. How this communicative function is achieved varies greatly between individuals and depends on the role of the speaker and the…

Human-Computer Interaction · Computer Science 2023-10-24 Laura B. Hensel , Nutchanon Yongsatianchot , Parisa Torshizi , Elena Minucci , Stacy Marsella

Large language models (LLMs) have undergone significant expansion and have been increasingly integrated across various domains. Notably, in the realm of robot task planning, LLMs harness their advanced reasoning and language comprehension…

A 3D scene graph represents a compact scene model by capturing both the objects present and the semantic relationships between them, making it a promising structure for robotic applications. To effectively interact with users, an embodied…

Computer Vision and Pattern Recognition · Computer Science 2025-08-07 Tatiana Zemskova , Dmitry Yudin

Traditional visual storytelling is complex, requiring specialized knowledge and substantial resources, yet often constrained by human creativity and creation precision. While Large Language Models (LLMs) enhance visual storytelling, current…

Computer Vision and Pattern Recognition · Computer Science 2024-08-22 Yuzhou Huang , Yiran Qin , Shunlin Lu , Xintao Wang , Rui Huang , Ying Shan , Ruimao Zhang

While previous approaches to 3D human motion generation have achieved notable success, they often rely on extensive training and are limited to specific tasks. To address these challenges, we introduce Motion-Agent, an efficient…

Computer Vision and Pattern Recognition · Computer Science 2024-10-08 Qi Wu , Yubo Zhao , Yifan Wang , Xinhang Liu , Yu-Wing Tai , Chi-Keung Tang

Graphics design is important for various applications, including movie production and game design. To create a high-quality scene, designers usually need to spend hours in software like Blender, in which they might need to interleave and…

Computer Vision and Pattern Recognition · Computer Science 2024-08-06 Ian Huang , Guandao Yang , Leonidas Guibas

Computer-aided design (CAD) significantly enhances the efficiency, accuracy, and innovation of design processes by enabling precise 2D and 3D modeling, extensive analysis, and optimization. Existing methods for creating CAD models rely on…

Computer Vision and Pattern Recognition · Computer Science 2025-06-24 Siyu Wang , Cailian Chen , Xinyi Le , Qimin Xu , Lei Xu , Yanzhou Zhang , Jie Yang
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