Papers Layout Generation
“Layout Generation” 태그가 달린 논문 148편 · 필터 해제
DLT: Conditioned layout generation with Joint Discrete-Continuous Diffusion Layout Transformer
Generating visual layouts is an essential ingredient of graphic design. The ability to condition layout generation on a partial subset of component attributes is critical to real-world applications that involve user inte…
Layout GenerationPLay: Parametrically Conditioned Layout Generation using Latent Diffusion
Layout design is an important task in various design fields, including user interface, document, and graphic design. As this task requires tedious manual effort by designers, prior works have attempted to automate this p…
Layout DesignLayout GenerationDiverse Multimedia Layout Generation with Multi Choice Learning
Designing visually appealing layouts for multimedia documents containing text, graphs and images requires a form of creative intelligence. Modelling the generation of layouts has recently gained attention due to its impo…
Layout GenerationLayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer
Graphic layout designs play an essential role in visual communication. Yet handcrafting layout designs is skill-demanding, time-consuming, and non-scalable to batch production. Generative models emerge to make design aut…
Layout GenerationGeometry Aligned Variational Transformer for Image-conditioned Layout Generation
Layout generation is a novel task in computer vision, which combines the challenges in both object localization and aesthetic appraisal, widely used in advertisements, posters, and slides design. An accurate and pleasant…
Layout DesignLayout GenerationObject LocalizationLayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction
Conditional graphic layout generation, which generates realistic layouts according to user constraints, is a challenging task that has not been well-studied yet. First, there is limited discussion about how to handle div…
DecoderLayout GenerationLayout-Bridging Text-to-Image Synthesis
The crux of text-to-image synthesis stems from the difficulty of preserving the cross-modality semantic consistency between the input text and the synthesized image. Typical methods, which seek to model the text-to-image…
Image GenerationLayout GenerationA Custom IC Layout Generation Engine Based on Dynamic Templates and Grids
This paper presents an automatic layout generation framework in advanced CMOS technologies. The framework extends the template-and-grid-based layout generation methodology with the following additional techniques applied…
Layout GenerationReCo: A Dataset for Residential Community Layout Planning
Layout planning is centrally important in the field of architecture and urban design. Among the various basic units carrying urban functions, residential community plays a vital part for supporting human life. Therefore,…
Generative Adversarial NetworkLayout DesignLayout GenerationComposition-aware Graphic Layout GAN for Visual-textual Presentation Designs
In this paper, we study the graphic layout generation problem of producing high-quality visual-textual presentation designs for given images. We note that image compositions, which contain not only global semantics but a…
Layout GenerationStructured Graph Variational Autoencoders for Indoor Furniture layout Generation
We present a structured graph variational autoencoder for generating the layout of indoor 3D scenes. Given the room type (e.g., living room or library) and the room layout (e.g., room elements such as floor and walls), o…
DecoderLayout GenerationAesthetic Text Logo Synthesis via Content-aware Layout Inferring
Text logo design heavily relies on the creativity and expertise of professional designers, in which arranging element layouts is one of the most important procedures. However, few attention has been paid to this task whi…
Layout DesignLayout GenerationInteractive Image Synthesis with Panoptic Layout Generation
Interactive image synthesis from user-guided input is a challenging task when users wish to control the scene structure of a generated image with ease.Although remarkable progress has been made on layout-based image synt…
Image GenerationLayout GenerationLayout-to-Image GenerationLearning Object Context for Novel-View Scene Layout Generation
Novel-view prediction of a scene has many applications. Existing works mainly focus on generating novel-view images via pixel-wise prediction in the image space, often resulting in severe ghosting and blurry artifact…
3D geometryImage GenerationLayout GenerationObjectTowards Full-to-Empty Room Generation with Structure-Aware Feature Encoding and Soft Semantic Region-Adaptive Normalization
The task of transforming a furnished room image into a background-only is extremely challenging since it requires making large changes regarding the scene context while still preserving the overall layout and style. In o…
Depth EstimationImage InpaintingLayout GenerationBLT: Bidirectional Layout Transformer for Controllable Layout Generation
Creating visual layouts is a critical step in graphic design. Automatic generation of such layouts is essential for scalable and diverse visual designs. To advance conditional layout generation, we introduce BLT, a bidir…
Layout GenerationThe Layout Generation Algorithm of Graphic Design Based on Transformer-CVAE
Graphic design is ubiquitous in people's daily lives. For graphic design, the most time-consuming task is laying out various components in the interface. Repetitive manual layout design will waste a lot of time for profe…
DisentanglementLayout DesignLayout GenerationConstrained Graphic Layout Generation via Latent Optimization
It is common in graphic design humans visually arrange various elements according to their design intent and semantics. For example, a title text almost always appears on top of other elements in a document. In this work…
Layout GenerationGraph-based Deep Generative Modelling for Document Layout Generation
One of the major prerequisites for any deep learning approach is the availability of large-scale training data. When dealing with scanned document images in real world scenarios, the principal information of its content …
Layout GenerationLayoutTransformer: Scene Layout Generation With Conceptual and Spatial Diversity
When translating text inputs into layouts or images, existing works typically require explicit descriptions of each object in a scene, including their spatial information or the associated relationships. To better ex…
DecoderDiversityLayout Generation