Papers Layout Generation
“Layout Generation” 태그가 달린 논문 148편 · 필터 해제
Semantic Palette: Guiding Scene Generation with Class Proportions
Despite the recent progress of generative adversarial networks (GANs) at synthesizing photo-realistic images, producing complex urban scenes remains a challenging problem. Previous works break down scene generation into …
Data AugmentationImage GenerationLayout GenerationScene GenerationBuilding-GAN: Graph-Conditioned Architectural Volumetric Design Generation
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. T…
3D geometryDiversityGraph Neural NetworkLayout GenerationVariational Transformer Networks for Layout Generation
Generative models able to synthesize layouts of different kinds (e.g. documents, user interfaces or furniture arrangements) are a useful tool to aid design processes and as a first step in the generation of synthetic dat…
DiversityLayout GenerationGRIHA: Synthesizing 2-Dimensional Building Layouts from Images Captured using a Smart Phone
Reconstructing an indoor scene and generating a layout/floor plan in 3D or 2D is a widely known problem. Quite a few algorithms have been proposed in the literature recently. However, most existing methods either use RGB…
Layout GenerationSimultaneous Localization and MappingMultimodal Attention for Layout Synthesis in Diverse Domains
We address the problem of scene layout generation for diverse domains such as images, mobile applications, documents and 3D objects. Most complex scenes, natural or human-designed, can be expressed as a meaningful arrang…
Layout GenerationLayoutTransformer: Relation-Aware Scene Layout Generation
In the areas of machine learning and computer vision, text-to-image synthesis aims at producing image outputs given the input text. In particular, the task of layout generation requires one to describe the spatial inform…
Image GenerationLayout GenerationObjectRelationEnd-to-end Generative Floor-plan and Layout with Attributes and Relation Graph
In this paper, we propose an end-end model for producing furniture layout for interior scene synthesis from the random vector. This proposed model is aimed to support professional interior designers to produce the interi…
Layout GenerationRelationGenerative Layout Modeling using Constraint Graphs
We propose a new generative model for layout generation. We generate layouts in three steps. First, we generate the layout elements as nodes in a layout graph. Second, we compute constraints between layout elements as ed…
Layout GenerationBeyond Language: Learning Commonsense from Images for Reasoning
This paper proposes a novel approach to learn commonsense from images, instead of limited raw texts or costly constructed knowledge bases, for the commonsense reasoning problem in NLP. Our motivation comes from the fact …
Language ModelingLanguage ModellingLayout GenerationQuestion AnsweringAttribute-conditioned Layout GAN for Automatic Graphic Design
Modeling layout is an important first step for graphic design. Recently, methods for generating graphic layouts have progressed, particularly with Generative Adversarial Networks (GANs). However, the problem of specifyin…
AttributeLayout GenerationPerson-in-Context Synthesiswith Compositional Structural Space
Despite significant progress, controlled generation of complex images with interacting people remains difficult. Existing layout generation methods fall short of synthesizing realistic person instances; while pose-guided…
Layout GenerationAutomatic Storage Structure Selection for hybrid Workload
In the use of database systems, the design of the storage engine and data model directly affects the performance of the database when performing queries. Therefore, the users of the database need to select the storage en…
Layout GenerationEnd-to-End Optimization of Scene Layout
We propose an end-to-end variational generative model for scene layout synthesis conditioned on scene graphs. Unlike unconditional scene layout generation, we use scene graphs as an abstract but general representation to…
DiversityIndoor Scene ReconstructionIndoor Scene SynthesisLayout Generation+2LayoutTransformer: Layout Generation and Completion with Self-attention
We address the problem of scene layout generation for diverse domains such as images, mobile applications, documents, and 3D objects. Most complex scenes, natural or human-designed, can be expressed as a meaningful arran…
Layout GenerationAdversarial Model for Rotated Indoor Scenes Planning
In this paper, we propose an adversarial model for producing furniture layout for interior scene synthesis when the interior room is rotated. The proposed model combines a conditional adversarial network, a rotation modu…
Layout GenerationmodelTowards Photo-Realistic Virtual Try-On by Adaptively Generating-Preserving Image Content
Image visual try-on aims at transferring a target clothes image onto a reference person, and has become a hot topic in recent years. Prior arts usually focus on preserving the character of a clothes image (e.g. texture, …
Layout GenerationSemantic SegmentationVirtual Try-onOPAL-Net: A Generative Model for Part-based Object Layout Generation
We propose OPAL-Net, a novel hierarchical architecture for part-based layout generation of objects from multiple categories using a single unified model. We adopt a coarse-to-fine strategy involving semantically conditio…
Layout GenerationHouse-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation
This paper proposes a novel graph-constrained generative adversarial network, whose generator and discriminator are built upon relational architecture. The main idea is to encode the constraint into the graph structure o…
DiversityGenerative Adversarial NetworkLayout GenerationTowards Photo-Realistic Virtual Try-On by Adaptively Generating$\leftrightarrow$Preserving Image Content
Image visual try-on aims at transferring a target clothing image onto a reference person, and has become a hot topic in recent years. Prior arts usually focus on preserving the character of a clothing image (e.g. texture…
Layout GenerationSemantic SegmentationVirtual Try-onNeural Design Network: Graphic Layout Generation with Constraints
Graphic design is essential for visual communication with layouts being fundamental to composing attractive designs. Layout generation differs from pixel-level image synthesis and is unique in terms of the requirement of…
Image GenerationLayout Generation