Matches in SemOpenAlex for { <https://semopenalex.org/work/W3158817284> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W3158817284 abstract "Volumetric design is the first and critical step for professional building design, where architects not only depict the rough 3D geometry of the building but also specify the programs to form a 2D layout on each floor. Though 2D layout generation for a single story has been widely studied, there is no developed method for multi-story buildings. This paper focuses on volumetric design generation conditioned on an input program graph. Instead of outputting dense 3D voxels, we propose a new 3D representation named voxel graph that is both compact and expressive for building geometries. Our generator is a cross-modal graph neural network that uses a pointer mechanism to connect the input program graph and the output voxel graph, and the whole pipeline is trained using the adversarial framework. The generated designs are evaluated qualitatively by a user study and quantitatively using three metrics: quality, diversity, and connectivity accuracy. We show that our model generates realistic 3D volumetric designs and outperforms previous methods and baselines." @default.
- W3158817284 created "2021-05-10" @default.
- W3158817284 creator A5007186141 @default.
- W3158817284 creator A5012706585 @default.
- W3158817284 creator A5024274481 @default.
- W3158817284 creator A5036275704 @default.
- W3158817284 creator A5070736865 @default.
- W3158817284 creator A5078025658 @default.
- W3158817284 date "2021-10-01" @default.
- W3158817284 modified "2023-10-18" @default.
- W3158817284 title "Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation" @default.
- W3158817284 cites W2058387381 @default.
- W3158817284 cites W2556802233 @default.
- W3158817284 cites W2606974598 @default.
- W3158817284 cites W2776645264 @default.
- W3158817284 cites W2963125977 @default.
- W3158817284 cites W2963140844 @default.
- W3158817284 cites W2963182550 @default.
- W3158817284 cites W2986336497 @default.
- W3158817284 cites W3034196144 @default.
- W3158817284 cites W3034616321 @default.
- W3158817284 cites W3035163517 @default.
- W3158817284 cites W3104141662 @default.
- W3158817284 cites W3107547765 @default.
- W3158817284 cites W4230472502 @default.
- W3158817284 doi "https://doi.org/10.1109/iccv48922.2021.01174" @default.
- W3158817284 hasPublicationYear "2021" @default.
- W3158817284 type Work @default.
- W3158817284 sameAs 3158817284 @default.
- W3158817284 citedByCount "6" @default.
- W3158817284 countsByYear W31588172842022 @default.
- W3158817284 countsByYear W31588172842023 @default.
- W3158817284 crossrefType "proceedings-article" @default.
- W3158817284 hasAuthorship W3158817284A5007186141 @default.
- W3158817284 hasAuthorship W3158817284A5012706585 @default.
- W3158817284 hasAuthorship W3158817284A5024274481 @default.
- W3158817284 hasAuthorship W3158817284A5036275704 @default.
- W3158817284 hasAuthorship W3158817284A5070736865 @default.
- W3158817284 hasAuthorship W3158817284A5078025658 @default.
- W3158817284 hasBestOaLocation W31588172842 @default.
- W3158817284 hasConcept C127413603 @default.
- W3158817284 hasConcept C132525143 @default.
- W3158817284 hasConcept C154945302 @default.
- W3158817284 hasConcept C179372163 @default.
- W3158817284 hasConcept C185592680 @default.
- W3158817284 hasConcept C188027245 @default.
- W3158817284 hasConcept C199639397 @default.
- W3158817284 hasConcept C205711294 @default.
- W3158817284 hasConcept C41008148 @default.
- W3158817284 hasConcept C54170458 @default.
- W3158817284 hasConcept C71139939 @default.
- W3158817284 hasConcept C80444323 @default.
- W3158817284 hasConceptScore W3158817284C127413603 @default.
- W3158817284 hasConceptScore W3158817284C132525143 @default.
- W3158817284 hasConceptScore W3158817284C154945302 @default.
- W3158817284 hasConceptScore W3158817284C179372163 @default.
- W3158817284 hasConceptScore W3158817284C185592680 @default.
- W3158817284 hasConceptScore W3158817284C188027245 @default.
- W3158817284 hasConceptScore W3158817284C199639397 @default.
- W3158817284 hasConceptScore W3158817284C205711294 @default.
- W3158817284 hasConceptScore W3158817284C41008148 @default.
- W3158817284 hasConceptScore W3158817284C54170458 @default.
- W3158817284 hasConceptScore W3158817284C71139939 @default.
- W3158817284 hasConceptScore W3158817284C80444323 @default.
- W3158817284 hasLocation W31588172841 @default.
- W3158817284 hasLocation W31588172842 @default.
- W3158817284 hasOpenAccess W3158817284 @default.
- W3158817284 hasPrimaryLocation W31588172841 @default.
- W3158817284 hasRelatedWork W2109867997 @default.
- W3158817284 hasRelatedWork W2146691973 @default.
- W3158817284 hasRelatedWork W2146871699 @default.
- W3158817284 hasRelatedWork W2160739731 @default.
- W3158817284 hasRelatedWork W2310750198 @default.
- W3158817284 hasRelatedWork W2388332332 @default.
- W3158817284 hasRelatedWork W2538301961 @default.
- W3158817284 hasRelatedWork W2685530223 @default.
- W3158817284 hasRelatedWork W3003634687 @default.
- W3158817284 hasRelatedWork W3104625815 @default.
- W3158817284 isParatext "false" @default.
- W3158817284 isRetracted "false" @default.
- W3158817284 magId "3158817284" @default.
- W3158817284 workType "article" @default.