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Papers Layout Design

“Layout Design” 태그가 달린 논문 65편 · 필터 해제

Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints

2024-02-07 · Jian Chen, Ruiyi Zhang, Yufan Zhou, Rajiv Jain 외

Controllable layout generation refers to the process of creating a plausible visual arrangement of elements within a graphic design (e.g., document and web designs) with constraints representing design intentions. Althou…

Layout DesignLayout Generation

Visual Layout Composer: Image-Vector Dual Diffusion Model for Design Layout Generation

2024-01-01 · CVPR 2024 1 · Mohammad Amin Shabani, Zhaowen Wang, Difan Liu, Nanxuan Zhao 외

This paper proposes an image-vector dual diffusion model for generative layout design. Distinct from prior efforts that mostly ignore element-level visual information our approach integrates the power of a pre-traine…

Layout DesignLayout GenerationPosition

Human-machine cooperation: optimization of drug retrieval sequencing in automated drug dispensing systems

2023-12-18 · Mengge Yuan, Kan Wu, Ning Zhao

Automated drug dispensing systems (ADDSs) are increasingly in demand in today's pharmacies, primarily driven by the growing ageing population. Recognizing the practical challenges faced by pharmacies implementing ADDSs, …

Layout DesignRetrieval

NN-Steiner: A Mixed Neural-algorithmic Approach for the Rectilinear Steiner Minimum Tree Problem

2023-12-17 · Andrew B. Kahng, Robert R. Nerem, Yusu Wang, Chien-Yi Yang

Recent years have witnessed rapid advances in the use of neural networks to solve combinatorial optimization problems. Nevertheless, designing the "right" neural model that can effectively handle a given optimization pro…

Combinatorial OptimizationLayout Design

A Study on the Inductance and Thermal Regression and Optimization for Automatic Layout Design of Power Modules

2023-12-13 · Victor Parque, Aiki Nakamura, Tomoyuki Miyashita

Power modules with excellent inductance and temperature metrics are significant to meet the rising sophistication of energy demand in new technologies. In this paper, we use a surrogate-based approach to render optimal l…

Layout Design

SmartMask: Context Aware High-Fidelity Mask Generation for Fine-grained Object Insertion and Layout Control

2023-12-08 · CVPR 2024 1 · Jaskirat Singh, Jianming Zhang, Qing Liu, Cameron Smith 외

The field of generative image inpainting and object insertion has made significant progress with the recent advent of latent diffusion models. Utilizing a precise object mask can greatly enhance these applications. Howev…

Image GenerationImage InpaintingLayout DesignLayout-to-Image Generation+1

Virtual Home Staging: Inverse Rendering and Editing an Indoor Panorama under Natural Illumination

2023-11-21 · Guanzhou Ji, Azadeh O. Sawyer, Srinivasa G. Narasimhan

We propose a novel inverse rendering method that enables the transformation of existing indoor panoramas with new indoor furniture layouts under natural illumination. To achieve this, we captured indoor HDR panoramas alo…

Inverse RenderingLayout Design

Learning Gradient Fields for Scalable and Generalizable Irregular Packing

2023-10-18 · Tianyang Xue, Mingdong Wu, Lin Lu, Haoxuan Wang 외

The packing problem, also known as cutting or nesting, has diverse applications in logistics, manufacturing, layout design, and atlas generation. It involves arranging irregularly shaped pieces to minimize waste while av…

Collision AvoidanceLayout DesignRelation Extraction

PlotMap: Automated Layout Design for Building Game Worlds

2023-09-26 · Yi Wang, Jieliang Luo, Adam Gaier, Evan Atherton 외

World-building, the process of developing both the narrative and physical world of a game, plays a vital role in the game's experience. Critically-acclaimed independent and AAA video games are praised for strong world-bu…

Decision MakingLayout DesignReinforcement Learning (RL)

Automatic Truss Design with Reinforcement Learning

2023-06-27 · Weihua Du, Jinglun Zhao, Chao Yu, Xingcheng Yao 외

Truss layout design, namely finding a lightweight truss layout satisfying all the physical constraints, is a fundamental problem in the building industry. Generating the optimal layout is a challenging combinatorial opti…

Combinatorial OptimizationLayout Designreinforcement-learningReinforcement Learning+2

Automatic Design Method of Building Pipeline Layout Based on Deep Reinforcement Learning

2023-05-18 · Chen Yang, Zhe Zheng, Jia-Rui Lin

The layout design of pipelines is a critical task in the construction industry. Currently, pipeline layout is designed manually by engineers, which is time-consuming and laborious. Automating and streamlining this proces…

Deep Reinforcement LearningLayout Designreinforcement-learning

Multi-Robot Coordination and Layout Design for Automated Warehousing

2023-05-10 · Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis 외

With the rapid progress in Multi-Agent Path Finding (MAPF), researchers have studied how MAPF algorithms can be deployed to coordinate hundreds of robots in large automated warehouses. While most works try to improve the…

DiversityLayout DesignMulti-Agent Path Finding

LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models

2023-03-21 · ICCV 2023 1 · Junyi Zhang, Jiaqi Guo, Shizhao Sun, Jian-Guang Lou 외

Creating graphic layouts is a fundamental step in graphic designs. In this work, we present a novel generative model named LayoutDiffusion for automatic layout generation. As layout is typically represented as a sequence…

Layout DesignLayout Generation

Rethinking Dual-Domain Undersampled MRI reconstruction: domain-specific design from the perspective of the receptive field

2023-03-19 · Ziqi Gao, S. Kevin Zhou

Undersampled MRI reconstruction is crucial for accelerating clinical scanning. Dual-domain reconstruction network is performant among SoTA deep learning methods. In this paper, we rethink dual-domain model design from th…

Deep LearningLayout DesignMRI Reconstruction

PLay: Parametrically Conditioned Layout Generation using Latent Diffusion

2023-01-27 · Chin-Yi Cheng, Forrest Huang, Gang Li, Yang Li

Layout design is an important task in various design fields, including user interface, document, and graphic design. As this task requires tedious manual effort by designers, prior works have attempted to automate this p…

Layout DesignLayout Generation

The Evolution of Web Search User Interfaces -- An Archaeological Analysis of Google Search Engine Result Pages

2023-01-20 · B. Oliveira, C. T. Lopes

Web search engines have marked everyone's life by transforming how one searches and accesses information. Search engines give special attention to the user interface, especially search engine result pages (SERP). The wel…

Layout Design

Text2Poster: Laying out Stylized Texts on Retrieved Images

2023-01-06 · Chuhao Jin, Hongteng Xu, Ruihua Song, Zhiwu Lu

Poster generation is a significant task for a wide range of applications, which is often time-consuming and requires lots of manual editing and artistic experience. In this paper, we propose a novel data-driven framework…

Image RetrievalLayout Designmultimodal generation

Site Assessment and Layout Optimization for Rooftop Solar Energy Generation in Worldview-3 Imagery

2022-12-07 · Zeyad Awwad, Abdulaziz Alharbi, Abdulelah H. Habib, Olivier L. de Weck

With the growth of residential rooftop PV adoption in recent decades, the problem of effective layout design has become increasingly important in recent years. Although a number of automated methods have been introduced,…

Layout Design

MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning

2022-11-24 · Yao Lai, Yao Mu, Ping Luo

Placement is an essential task in modern chip design, aiming at placing millions of circuit modules on a 2D chip canvas. Unlike the human-centric solution, which requires months of intense effort by hardware engineers to…

Deep Reinforcement LearningLayout DesignRepresentation Learningvalid

Design Process is a Reinforcement Learning Problem

2022-11-06 · Reza kakooee, Benjamin Dillunberger

While reinforcement learning has been used widely in research during the past few years, it found fewer real-world applications than supervised learning due to some weaknesses that the RL algorithms suffer from, such as …

Layout DesignOpenAI Gymreinforcement-learningReinforcement Learning+1
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