computer-vision-6

Layout Design

3260 papers • 126 benchmarks • 313 datasets

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Most implemented papers

Training a Fully Convolutional Neural Network to Route Integrated Circuits

Sambhav R. Jain, Kye L. Okabe•Mon Jun 26 2017

A deep, fully convolutional neural network that learns to route a circuit layout net with appropriate choice of metal tracks and wire class combinations with learnability of layout design rules is presented.

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A Deep Generative Model for Graph Layout

Oh-Hyun Kwon, K. Ma•Fri Apr 26 2019

This paper designs an encoder-decoder architecture to learn a model from a collection of example layouts, where the encoder represents training examples in a latent space and the decoder produces layouts from the latent space.

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GRIDS: Interactive Layout Design with Integer Programming

N. Dayama, Kashyap Todi, Taru Saarelainen, Antti Oulasvirta•Wed Jan 08 2020

A novel optimisation approach for the generation of diverse grid-based layouts using the mixed integer linear programming (MILP) model that ensures packing, alignment, grouping, and preferential positioning of elements.

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A deep neural network surrogate modeling benchmark for temperature field prediction of heat source layout

Xiaoqian Chen, Zhiqiang Gong, Xiaoyu Zhao, Weien Zhou, Xianqi Chen, Jun Zhang, W. Yao•Fri Mar 19 2021

A DNN-based HSL-TFP surrogate modeling task benchmark is proposed with consideration for engineering applicability, sample generation, dataset evaluation, DNN model, and surrogate performance metrics are thoroughly investigated.

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Transfer learning approach to bicycle-sharing systems' station location planning using OpenStreetMap data

Piotr Szyma'nski, Kamil Raczycki•Sun Oct 31 2021

A mechanism to support planners in their decision making when planning a station layout with a choice of reference cities is proposed and a method has been developed to divide cities into micro-regions using the Uber H3 discrete global grid system.

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Aesthetic Text Logo Synthesis via Content-aware Layout Inferring

Wenhan Luo, Z. Lian, Yexin Wang, Pengfei Xiong, Yizhi Wang, Guo Pu, Hongwen Kang•Tue Apr 05 2022

A content-aware layout generation network which takes glyph images and their corresponding text as input and synthesizes aesthetic layouts for them automatically and fuse the information of linguistics from texts and visual semantics from glyphs to guide layout prediction, which both play important roles in professional layout design.

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iPLAN: Interactive and Procedural Layout Planning

Feixiang He, Yanlong Huang, He Wang•Sat Mar 26 2022

A new human-in-the-loop generative model, iPLAN, which is capable of automatically generating layouts, but also interacting with designers throughout the whole procedure, enabling humans and AI to co-evolve a sketchy idea gradually into the final design.

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ReCo: A Dataset for Residential Community Layout Planning

Haofen Wang, Xi Chen, Yun Xiong, Yao Zhang, Siqi Wang, Tao Sheng, Yu Ye•Tue Jun 07 2022

To address the issues and advance a benchmark dataset for various intelligent spatial design and analysis applications in the development of smart city, the ReCo Dataset is introduced, which is the first and largest open-source vector dataset related to real-world community to date.

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MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms

Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, K. Barker, Ang Li, Yufei Ding•Tue Sep 13 2022

MGG is a novel system design to accelerate full-graph GNNs on multi-GPU platforms that introduces GNN-tailored pipeline construction and GPU-aware pipeline mapping to facilitate workload balancing and operation overlapping within a GPU kernel.

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Design Process is a Reinforcement Learning Problem

R. Kakooee, Benjamin Dillunberger•Sat Nov 05 2022

This work argues the design process is a reinforcement learning problem and can potentially be a proper application for RL algorithms as it is an offline process and conventionally is done in CAD software - a sort of simulator.

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