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Recent deep learning methods can generate diverse graphic design layouts efficiently. However, these methods often create layouts with flaws, such as misalignment, unwanted overlaps, and unsatisfied containment. To tackle this issue, we…

Graphics · Computer Science 2025-08-26 I-Chao Shen , Ariel Shamir , Takeo Igarashi

Realistic visual renderings of street-design scenarios are essential for public engagement in active transportation planning. Traditional approaches are labor-intensive, hindering collective deliberation and collaborative decision-making.…

Artificial Intelligence · Computer Science 2026-03-18 Chenguang Wang , Xiang Yan , Yilong Dai , Ziyi Wang , Susu Xu

Significant strides have been made toward designing better generative models in recent years. Despite this progress, however, state-of-the-art approaches are still largely unable to capture complex global structure in data. For example,…

Machine Learning · Computer Science 2019-01-25 Halley Young , Osbert Bastani , Mayur Naik

Generative modeling of anatomical structures plays a crucial role in virtual imaging trials, which allow researchers to perform studies without the costs and constraints inherent to in vivo and phantom studies. For clinical relevance,…

Computer Vision and Pattern Recognition · Computer Science 2025-04-07 Bram de Wilde , Max T. Rietberg , Guillaume Lajoinie , Jelmer M. Wolterink

We present a framework for automating generative deep learning with a specific focus on artistic applications. The framework provides opportunities to hand over creative responsibilities to a generative system as targets for automation. For…

Machine Learning · Computer Science 2021-07-06 Sebastian Berns , Terence Broad , Christian Guckelsberger , Simon Colton

Given (small amounts of) time-series' data from a high-dimensional, fine-grained, multiscale dynamical system, we propose a generative framework for learning an effective, lower-dimensional, coarse-grained dynamical model that is predictive…

Machine Learning · Statistics 2021-01-18 Sebastian Kaltenbach , Phaedon-Stelios Koutsourelakis

Despite significant recent progress on generative models, controlled generation of images depicting multiple and complex object layouts is still a difficult problem. Among the core challenges are the diversity of appearance a given object…

Computer Vision and Pattern Recognition · Computer Science 2019-10-16 Bo Zhao , Lili Meng , Weidong Yin , Leonid Sigal

Sampling-based path planning is a popular methodology for robot path planning. With a uniform sampling strategy to explore the state space, a feasible path can be found without the complex geometric modeling of the configuration space.…

Robotics · Computer Science 2020-12-08 Tianyi Zhang , Jiankun Wang , Max Q. -H. Meng

This paper introduces a system for generating interior design layouts based on user inputs, such as room type, style, and furniture preferences. CLIP extracts relevant furniture from a dataset, and a layout that contains furniture and a…

Graphics · Computer Science 2025-08-26 Reema Alshehri , Rawan Alotaibi , Leen Almasri , Rawan Altaweel

When planning motions in a configuration space that has underlying symmetries (e.g. when manipulating one or multiple symmetric objects), the ideal planning algorithm should take advantage of those symmetries to produce shorter…

Robotics · Computer Science 2025-07-18 Thomas Cohn , Russ Tedrake

3D objects (artefacts) are made to fulfill functions. Designing an object often starts with defining a list of functionalities that it should provide, also known as functional requirements. Today, the design of 3D object models is still a…

Artificial Intelligence · Computer Science 2018-10-18 Mihai Andries , Atabak Dehban , José Santos-Victor

We propose a new probabilistic framework that allows mobile robots to autonomously learn deep, generative models of their environments that span multiple levels of abstraction. Unlike traditional approaches that combine engineered models…

Robotics · Computer Science 2018-01-01 Andrzej Pronobis , Rajesh P. N. Rao

Well-designed indoor scenes should prioritize how people can act within a space rather than merely what objects to place. However, existing 3D scene generation methods emphasize visual and semantic plausibility, while insufficiently…

Human-Computer Interaction · Computer Science 2026-03-04 Semin Jin , Donghyuk Kim , Jeongmin Ryu , Kyung Hoon Hyun

In this study we introduce a new method to solve the Dynamics Facility Layout Problems (DFLPs). To represent each layout, we use the slicing tree method integrated with our proposed heuristic to obtain promising initial solutions. Then, we…

Optimization and Control · Mathematics 2019-08-29 Afshin Oroojlooy Jadid , Mohammad Firouz

We present a method for generating arrangements of indoor furniture from human-designed furniture layout data. Our method creates arrangements that target specified diversity, such as the total price of all furniture in the room and the…

Machine Learning · Computer Science 2022-06-23 Ya-Chuan Hsu , Matthew C. Fontaine , Sam Earle , Maria Edwards , Julian Togelius , Stefanos Nikolaidis

Overpopulation in animal shelters contributes to increased disease spread and higher expenses on animal healthcare, leading to fewer adoptions and more shelter deaths. Additionally, one of the greatest challenges that shelters face is the…

Neural and Evolutionary Computing · Computer Science 2024-05-30 Arghavan Jalayer , Masoud Jalayer , Mehdi Khakzand , Mohsen Faizi

Comprehending natural language instructions is a charming property for both 2D and 3D layout synthesis systems. Existing methods implicitly model object joint distributions and express object relations, hindering generation's…

Computer Vision and Pattern Recognition · Computer Science 2025-08-05 Chenguo Lin , Yuchen Lin , Panwang Pan , Xuanyang Zhang , Yadong Mu

In this paper, we present a heuristic procedure for designing a loop material flow pattern on a given facility layout with the aim of minimizing the total material handling distances. We present an approximation of the total material…

Systems and Control · Computer Science 2013-03-25 Hossein Jahandideh , Ardavan Asef-Vaziri , Mohammad Modarres

This paper presents a heuristic approach for solving the placement of Analog and Mixed-Signal Integrated Circuits. Placement is a crucial step in the physical design of integrated circuits. During this step, designers choose the position…

Neural and Evolutionary Computing · Computer Science 2024-11-14 Josef Grus , Zdeněk Hanzálek

In the field of graphic design, automating the integration of design elements into a cohesive multi-layered artwork not only boosts productivity but also paves the way for the democratization of graphic design. One existing practice is…

Computer Vision and Pattern Recognition · Computer Science 2024-04-23 Yutao Cheng , Zhao Zhang , Maoke Yang , Hui Nie , Chunyuan Li , Xinglong Wu , Jie Shao