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Related papers: CityGen: Infinite and Controllable City Layout Gen…

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The digital transformation of modern cities by integrating advanced information, communication, and computing technologies has marked the epoch of data-driven smart city applications for efficient and sustainable urban management. Despite…

Artificial Intelligence · Computer Science 2024-08-08 Haowen Xu , Femi Omitaomu , Soheil Sabri , Sisi Zlatanova , Xiao Li , Yongze Song

Urban general intelligence (UGI) refers to the capacity of AI systems to autonomously perceive, reason, and act within dynamic and complex urban environments. In this paper, we introduce UrbanMind, a tool-enhanced retrieval-augmented…

Machine Learning · Computer Science 2025-07-08 Kai Yang , Zelin Zhu , Chengtao Jian , Hui Ma , Shengjie Zhao , Xiaozhou Ye , Ye Ouyang

Recent advances in generative models have sparked exciting new possibilities in the field of autonomous vehicles. Specifically, video generation models are now being explored as controllable virtual testing environments. Simultaneously,…

Computer Vision and Pattern Recognition · Computer Science 2025-10-08 Jiahao Wang , Zhenpei Yang , Yijing Bai , Yingwei Li , Yuliang Zou , Bo Sun , Abhijit Kundu , Jose Lezama , Luna Yue Huang , Zehao Zhu , Jyh-Jing Hwang , Dragomir Anguelov , Mingxing Tan , Chiyu Max Jiang

Due to the rapid growth of urban areas in the past decades, it has become increasingly important to model and monitor urban growth in mega cities. Although several researchers have proposed models for simulating urban growth, they have been…

Other Computer Science · Computer Science 2018-05-30 Saptarshi Pal , Soumya K Ghosh

We propose a temporally coherent generative model addressing the super-resolution problem for fluid flows. Our work represents a first approach to synthesize four-dimensional physics fields with neural networks. Based on a conditional…

Machine Learning · Computer Science 2025-03-20 You Xie , Aleksandra Franz , Mengyu Chu , Nils Thuerey

Large-scale, high-quality interaction trajectories are essential for advancing mobile Graphical User Interface (GUI) agents. While existing methods typically rely on labor-intensive human demonstrations or automated model exploration to…

Artificial Intelligence · Computer Science 2026-02-02 Linjia Kang , Zhimin Wang , Yongkang Zhang , Duo Wu , Jinghe Wang , Ming Ma , Haopeng Yan , Zhi Wang

Recent progress in driving video generation has shown significant potential for enhancing self-driving systems by providing scalable and controllable training data. Although pretrained state-of-the-art generation models, guided by 2D layout…

Computer Vision and Pattern Recognition · Computer Science 2025-04-08 Yishen Ji , Ziyue Zhu , Zhenxin Zhu , Kaixin Xiong , Ming Lu , Zhiqi Li , Lijun Zhou , Haiyang Sun , Bing Wang , Tong Lu

We address the challenge of generating 3D worlds from textual descriptions. We propose SynCity, a training- and optimization-free approach, which leverages the geometric precision of pre-trained 3D generative models and the artistic…

Computer Vision and Pattern Recognition · Computer Science 2025-03-21 Paul Engstler , Aleksandar Shtedritski , Iro Laina , Christian Rupprecht , Andrea Vedaldi

Among various interactions between humans, such as eye contact and gestures, physical interactions by contact can act as an essential moment in understanding human behaviors. Inspired by this fact, given a 3D partner human with the desired…

Computer Vision and Pattern Recognition · Computer Science 2024-02-06 Dongjun Gu , Jaehyeok Shim , Jaehoon Jang , Changwoo Kang , Kyungdon Joo

Coarse building mass models are now routinely generated at scales ranging from individual buildings through to whole cities. For example, they can be abstracted from raw measurements, generated procedurally, or created manually. However,…

Graphics · Computer Science 2019-03-08 Tom Kelly , Paul Guerrero , Anthony Steed , Peter Wonka , Niloy J. Mitra

The mobility patterns of people in cities evolve alongside changes in land use and population. This makes it crucial for urban planners to simulate and analyze human mobility patterns for purposes such as transportation optimization and…

Machine Learning · Computer Science 2025-07-17 Seanglidet Yean , Jiazu Zhou , Bu-Sung Lee , Markus Schläpfer

3D object generation has undergone significant advancements, yielding high-quality results. However, fall short of achieving precise user control, often yielding results that do not align with user expectations, thus limiting their…

Graphics · Computer Science 2024-04-26 Shaocong Dong , Lihe Ding , Zhanpeng Huang , Zibin Wang , Tianfan Xue , Dan Xu

In recent years generative design techniques have become firmly established in numerous applied fields, especially in engineering. These methods are demonstrating intensive growth owing to promising outlook. However, existing approaches are…

Neural and Evolutionary Computing · Computer Science 2022-12-29 Nikita O. Starodubcev , Nikolay O. Nikitin , Konstantin G. Gavaza , Elizaveta A. Andronova , Denis O. Sidorenko , Anna V. Kalyuzhnaya

Graphic design is crucial for conveying ideas and messages. Designers usually organize their work into objects, backgrounds, and vectorized text layers to simplify editing. However, this workflow demands considerable expertise. With the…

Computer Vision and Pattern Recognition · Computer Science 2025-07-09 Jingye Chen , Zhaowen Wang , Nanxuan Zhao , Li Zhang , Difan Liu , Jimei Yang , Qifeng Chen

Generative adversarial networks (GANs) have attained photo-realistic quality in image generation. However, how to best control the image content remains an open challenge. We introduce LatentKeypointGAN, a two-stage GAN which is trained…

Computer Vision and Pattern Recognition · Computer Science 2024-10-15 Xingzhe He , Bastian Wandt , Helge Rhodin

Large-scale and diverse datasets are vital for training robust robotic manipulation policies, yet existing data collection methods struggle to balance scale, diversity, and quality. Simulation offers scalability but suffers from sim-to-real…

We present DriveGen3D, a novel framework for generating high-quality and highly controllable dynamic 3D driving scenes that addresses critical limitations in existing methodologies. Current approaches to driving scene synthesis either…

Graphic design is essential for visual communication with layouts being fundamental to composing attractive designs. Layout generation differs from pixel-level image synthesis and is unique in terms of the requirement of mutual relations…

Computer Vision and Pattern Recognition · Computer Science 2020-07-20 Hsin-Ying Lee , Lu Jiang , Irfan Essa , Phuong B Le , Haifeng Gong , Ming-Hsuan Yang , Weilong Yang

This paper presents an automatic layout generation framework in advanced CMOS technologies. The framework extends the template-and-grid-based layout generation methodology with the following additional techniques applied to produce optimal…

Signal Processing · Electrical Eng. & Systems 2024-07-30 Taeho Shin , Dongjun Lee , Dongwhee Kim , Gaeryun Sung , Wookjin Shin , Yunseong Jo , Hyungjoo Park , Jaeduk Han

Recent approaches have achieved great success in image generation from structured inputs, e.g., semantic segmentation, scene graph or layout. Although these methods allow specification of objects and their locations at image-level, they…

Computer Vision and Pattern Recognition · Computer Science 2020-08-28 Ke Ma , Bo Zhao , Leonid Sigal