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This paper introduces SceneCraft, a Large Language Model (LLM) Agent converting text descriptions into Blender-executable Python scripts which render complex scenes with up to a hundred 3D assets. This process requires complex spatial…

Computer Vision and Pattern Recognition · Computer Science 2024-03-05 Ziniu Hu , Ahmet Iscen , Aashi Jain , Thomas Kipf , Yisong Yue , David A. Ross , Cordelia Schmid , Alireza Fathi

Synthesizing interactive 3D scenes from text is essential for gaming, virtual reality, and embodied AI. However, existing methods face several challenges. Learning-based approaches depend on small-scale indoor datasets, limiting the scene…

Computer Vision and Pattern Recognition · Computer Science 2025-05-06 Lu Ling , Chen-Hsuan Lin , Tsung-Yi Lin , Yifan Ding , Yu Zeng , Yichen Sheng , Yunhao Ge , Ming-Yu Liu , Aniket Bera , Zhaoshuo Li

Our project page: https://scutyklin.github.io/SceneLCM/. Automated generation of complex, interactive indoor scenes tailored to user prompt remains a formidable challenge. While existing methods achieve indoor scene synthesis, they struggle…

Computer Vision and Pattern Recognition · Computer Science 2025-06-10 Yangkai Lin , Jiabao Lei , Kui Jia

Dynamic scenes contain intricate spatio-temporal information, crucial for mobile robots, UAVs, and autonomous driving systems to make informed decisions. Parsing these scenes into semantic triplets <Subject-Predicate-Object> for accurate…

Computer Vision and Pattern Recognition · Computer Science 2025-05-08 Hang Zhang , Zhuoling Li , Jun Liu

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

Procedural generation techniques in 3D rendering engines have revolutionized the creation of complex environments, reducing reliance on manual design. Recent approaches using Large Language Models (LLMs) for 3D scene generation show promise…

Computer Vision and Pattern Recognition · Computer Science 2026-02-13 Arafa Yoncalik , Wouter Jansen , Nico Huebel , Mohammad Hasan Rahmani , Jan Steckel

Large Language Models (LLMs) have shown promise in automated code generation but typically excel only in simpler tasks such as generating standalone code units. Real-world software development, however, often involves complex code…

Software Engineering · Computer Science 2024-08-12 Kechi Zhang , Jia Li , Ge Li , Xianjie Shi , Zhi Jin

Constructing photorealistic virtual worlds has applications across various fields, but it often requires the extensive labor of highly trained professionals to operate conventional 3D modeling software. To democratize this process, we…

Computer Vision and Pattern Recognition · Computer Science 2025-03-03 Xinhang Liu , Chi-Keung Tang , Yu-Wing Tai

We present a system for generating indoor scenes in response to text prompts. The prompts are not limited to a fixed vocabulary of scene descriptions, and the objects in generated scenes are not restricted to a fixed set of object…

Computer Vision and Pattern Recognition · Computer Science 2024-03-18 Rio Aguina-Kang , Maxim Gumin , Do Heon Han , Stewart Morris , Seung Jean Yoo , Aditya Ganeshan , R. Kenny Jones , Qiuhong Anna Wei , Kailiang Fu , Daniel Ritchie

Automatically generating interactive 3D indoor scenes from natural language is crucial for virtual reality, gaming, and embodied AI. However, existing LLM-based approaches often suffer from spatial errors and collisions, in part because…

Artificial Intelligence · Computer Science 2026-05-01 Song Tang , Kaiyong Zhao , Yuliang Li , Qingsong Yan , Penglei Sun , Junyi Zou , Qiang Wang , Xiaowen Chu

Existing Large Language Models (LLM) can invoke a variety of tools and APIs to complete complex tasks. The computer, as the most powerful and universal tool, could potentially be controlled directly by a trained LLM agent. Powered by the…

Human-Computer Interaction · Computer Science 2025-05-27 Runliang Niu , Jindong Li , Shiqi Wang , Yali Fu , Xiyu Hu , Xueyuan Leng , He Kong , Yi Chang , Qi Wang

Designing high-quality indoor 3D scenes is important in many practical applications, such as room planning or game development. Conventionally, this has been a time-consuming process which requires both artistic skill and familiarity with…

Computer Vision and Pattern Recognition · Computer Science 2024-07-31 Başak Melis Öcal , Maxim Tatarchenko , Sezer Karaoglu , Theo Gevers

The scarcity of data depicting dangerous situations presents a major obstacle to training AI systems for safety-critical applications, such as construction safety, where ethical and logistical barriers hinder real-world data collection.…

Artificial Intelligence · Computer Science 2025-05-21 Vu Dinh Xuan , Hao Vo , David Murphy , Hoang D. Nguyen

Diffusion models have achieved remarkable success in image and video generation. However, their inherently multiple step inference process imposes substantial computational overhead, hindering real-world deployment. Accelerating diffusion…

Computer Vision and Pattern Recognition · Computer Science 2026-01-07 Jiajun jiao , Haowei Zhu , Puyuan Yang , Jianghui Wang , Ji Liu , Ziqiong Liu , Dong Li , Yuejian Fang , Junhai Yong , Bin Wang , Emad Barsoum

Despite recent progress in generating hardware RTL code with LLMs, existing solutions still suffer from a substantial gap between practical application scenarios and the requirements of real-world RTL code development. Prior approaches…

Hardware Architecture · Computer Science 2025-09-10 Zhongzhi Yu , Mingjie Liu , Michael Zimmer , Yingyan Celine Lin , Yong Liu , Haoxing Ren

Large vision-language models (LVLMs) have shown remarkable capabilities in interpreting visual content. While existing works demonstrate these models' vulnerability to deliberately placed adversarial texts, such texts are often easily…

Computer Vision and Pattern Recognition · Computer Science 2025-04-09 Yue Cao , Yun Xing , Jie Zhang , Di Lin , Tianwei Zhang , Ivor Tsang , Yang Liu , Qing Guo

Spreadsheets are ubiquitous across the World Wide Web, playing a critical role in enhancing work efficiency across various domains. Large language model (LLM) has been recently attempted for automatic spreadsheet manipulation but has not…

Artificial Intelligence · Computer Science 2025-03-04 Yibin Chen , Yifu Yuan , Zeyu Zhang , Yan Zheng , Jinyi Liu , Fei Ni , Jianye Hao , Hangyu Mao , Fuzheng Zhang

Scene graphs offer a structured, hierarchical representation of images, with nodes and edges symbolizing objects and the relationships among them. It can serve as a natural interface for image editing, dramatically improving precision and…

Computer Vision and Pattern Recognition · Computer Science 2024-10-16 Zhiyuan Zhang , DongDong Chen , Jing Liao

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…

Creating interactive scenes often involves complex programming tasks. Although large language models (LLMs) like ChatGPT can generate code from natural language, their output is often error-prone, particularly when scripting interactions…

Human-Computer Interaction · Computer Science 2025-02-10 Hui Ye , Chufeng Xiao , Jiaye Leng , Pengfei Xu , Hongbo Fu
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