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Layout Design

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/JanineCHEN/SE-VGAE

공식 코드

SE-VGAE: Unsupervised Disentangled Representation Learning for Interpretable Architectural Layout Design Graph Generation

https://github.com/YukeWang96/MGG-OSDI23-AE

공식 코드

MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms

https://github.com/autodeskailab/plotmap

공식 코드

PlotMap: Automated Layout Design for Building Game Worlds

https://github.com/chuhaojin/text2poster-icassp-22

공식 코드

Text2Poster: Laying out Stylized Texts on Retrieved Images

https://github.com/fdudsde/reco-dataset

공식 코드

ReCo: A Dataset for Residential Community Layout Planning

https://github.com/gitwzl/motbench

공식 코드

Evaluating Menu OCR and Translation: A Benchmark for Aligning Human and Automated Evaluations in Large Vision-Language Models

https://github.com/gzhji/cali-hdr-dataset

공식 코드

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

https://github.com/idrl-lab/supervised_layout_benchmark

공식 코드

A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout

https://github.com/jaepoong/PosterLlama

공식 코드

PosterLlama: Bridging Design Ability of Langauge Model to Contents-Aware Layout Generation

https://github.com/limbo018/dreamplace

공식 코드

MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning

https://github.com/lunjohnzhang/warehouse_env_gen_public

공식 코드

Multi-Robot Coordination and Layout Design for Automated Warehousing

https://github.com/microsoft/layoutgeneration

공식 코드

LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models

https://github.com/puar-playground/lace

공식 코드

Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints

https://github.com/pwr-inf/transfer-learning-approach-to-bicycle-sharing-systems-station-location-planning-using-openstreetmap

공식 코드

Transfer Learning Approach to Bicycle-sharing Systems' Station Location Planning using OpenStreetMap Data

https://github.com/realcrane/iPLAN-Interactive-and-Procedural-Layout-Planning

공식 코드

iPLAN: Interactive and Procedural Layout Planning

https://github.com/rezakakooee/rldesigner

공식 코드

Design Process is a Reinforcement Learning Problem

https://github.com/sjain-stanford/deep-route

공식 코드

Training a Fully Convolutional Neural Network to Route Integrated Circuits

https://github.com/stiglidu/autotruss

공식 코드

Automatic Truss Design with Reinforcement Learning

https://github.com/wenboown/generative-ai-for-semiconductor-physical-design

공식 코드

Enhancing Reasoning to Adapt Large Language Models for Domain-Specific Applications

https://github.com/yizhiwang96/textlogolayout

공식 코드

Aesthetic Text Logo Synthesis via Content-aware Layout Inferring

https://github.com/yunlong10/Awesome-AI4Animation

공식 코드

Generative AI for Cel-Animation: A Survey

https://github.com/aalto-ui/GRIDS

GRIDS: Interactive Layout Design with Integer Programming

https://github.com/laiyao1/maskplace

MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning

https://github.com/preddy5/A-Deep-Generative-Model-for-Graph-Layout

A Deep Generative Model for Graph Layout

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.