LEADER 05572nam 22006733u 450 001 9910500587003321 005 20230221125320.0 010 $a981-16-5983-4 035 $a(CKB)5360000000050065 035 $aEBL6732942 035 $a(OCoLC)1313889192 035 $a(AU-PeEL)EBL6732942 035 $a(MiAaPQ)EBC6732942 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/72246 035 $a(PPN)258058684 035 $a(EXLCZ)995360000000050065 100 $a20220617d2021|||| uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of the 2021 DigitalFUTURES $eThe 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021) /$feditors, Philip F. Yuan [et al.] 210 $aSingapore $cSpringer Singapore Pte. Limited$d2021 215 $a1 online resource (401 p.) 300 $aDescription based upon print version of record. 311 1 $a981-16-5982-6 327 $aIntro -- Preface -- Organization -- Committees -- Honorary Advisors -- Organization Committees -- Scientific Committees -- Contents -- Computation and Formation -- Serlio and Artificial Intelligence: Problematizing the Image-to-Object Workflow -- 1 Influence of the Disciplinary Treatise -- 2 Analogical and Digital Flux -- 3 Analog-to-Digital Information Processing -- 4 Problematizing the Image-to-Object Workflow -- 5 Operative Model: Portico -- 5.1 Intelligence Beyond Serlio -- References -- A Generative Approach to Social Ecologies in Project [Symbios]City -- 1 Introduction 327 $a2 Topological Optimization as a Method of Parametric Semiology -- 2.1 Background -- 2.2 TO Software and Its Potential to Achieve Tower Semiology -- 2.3 Benchmark Post Processing and Materialization -- 3 Ground Design and Flood Simulation -- 3.1 Flood Simulation -- 3.2 Tower Arrangement -- 3.3 Podium Design and Network Theory -- 4 From Programmatic Distribution to Neighborhood Ecologies -- 4.1 Typical Program Classification and Distribution -- 4.2 Dynamic Programs and Micro-structures -- 5 Façade Development and Sunlight Optimization -- 6 Conclusion -- References 327 $aUsing CycleGAN to Achieve the Sketch Recognition Process of Sketch-Based Modeling -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Network Architecture -- 3.2 Data Preparation -- 3.3 Training Process -- 4 Results -- 4.1 Recognition of Sketch and Generation of Corresponding Building Image -- 4.2 Sketch Reconstruction -- 4.3 Building Images to Sketches -- 5 Conclusion and Discussion -- References -- Exploration on Machine Learning Layout Generation of Chinese Private Garden in Southern Yangtze -- 1 Introduction -- 2 Background -- 3 Research Method -- 3.1 Network Architecture 327 $a3.2 Dataset -- 3.3 Processing and Labelling Based on Analysis -- 4 Training and Analysis -- 4.1 First Training -- 4.2 Second Training -- 4.3 Third Training -- 4.4 Result Analysis -- 5 Discussion -- References -- Command2Vec: Feature Learning of 3D Modeling Behavior Sequence-A Case Study on "Spiral-stair" -- 1 Introduction -- 2 Related Work -- 3 Methodologies -- 3.1 Data Preparing -- 3.2 Embedding -- 3.3 Command2Vec -- 3.4 Clustering -- 4 Experiment -- 5 Results -- 5.1 Experiment Results -- 5.2 Evaluation -- 6 Conclusion and Discussion -- References 327 $aExploring in the Latent Space of Design: A Method of Plausible Building Facades Images Generation, Properties Control and Model Explanation Base on StyleGAN2 -- 1 Introduction -- 2 Related Work -- 2.1 Image Generation Research via GAN in Computer Science -- 2.2 Plan Drawing Generation Research -- 2.3 Building Facades and Other Perspective Architectural Images Generation Research -- 3 Methodology -- 3.1 Training Building Facades Generation Model by StyleGAN2 -- 3.2 Exploration and Explanation of Latent Space -- 3.3 High-Level Prosperity Control 327 $a3.4 Project Novel Image into Existing Model Instance 330 $aThis open access book is a compilation of selected papers from 2021 DigitalFUTURES?The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021). The work focuses on novel techniques for computational design and robotic fabrication. The contents make valuable contributions to academic researchers, designers, and engineers in the industry. As well, readers encounter new ideas about understanding material intelligence in architecture. 606 $aAutomatic control engineering$2bicssc 606 $aComputer-aided design (CAD)$2bicssc 606 $aArtificial intelligence$2bicssc 610 $aHistory, Theory and Critics of Building Technology 610 $aPerformance-based Design 610 $aFabrication and Construction 610 $aData Mining and Visualizing 610 $aImmersive and Interactive Environment 610 $aArchitectural Intelligence 610 $aOpen Access 615 7$aAutomatic control engineering 615 7$aComputer-aided design (CAD) 615 7$aArtificial intelligence 700 $aYuan$b Philip F$4edt$01239389 701 $aYuan$b Philip F$01239389 701 $aChai$b Hua$01239390 701 $aYan$b Chao$01239391 701 $aLeach$b Neil$0605589 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910500587003321 996 $aProceedings of the 2021 DigitalFUTURES$92875754 997 $aUNINA