Papers Layout Generation
“Layout Generation” 태그가 달린 논문 148편 · 필터 해제
PosterLlama: Bridging Design Ability of Langauge Model to Contents-Aware Layout Generation
Visual layout plays a critical role in graphic design fields such as advertising, posters, and web UI design. The recent trend towards content-aware layout generation through generative models has shown promise, yet it o…
Layout DesignLayout GenerationConstrained Layout Generation with Factor Graphs
This paper addresses the challenge of object-centric layout generation under spatial constraints, seen in multiple domains including floorplan design process. The design process typically involves specifying a set of spa…
Graph Neural NetworkLayout GenerationObjectSVGCraft: Beyond Single Object Text-to-SVG Synthesis with Comprehensive Canvas Layout
Generating VectorArt from text prompts is a challenging vision task, requiring diverse yet realistic depictions of the seen as well as unseen entities. However, existing research has been mostly limited to the generation…
Layout GenerationVector GraphicsLayoutFlow: Flow Matching for Layout Generation
Finding a suitable layout represents a crucial task for diverse applications in graphic design. Motivated by simpler and smoother sampling trajectories, we explore the use of Flow Matching as an alternative to current di…
DenoisingLayout GenerationPlanner3D: LLM-enhanced graph prior meets 3D indoor scene explicit regularization
Compositional 3D scene synthesis has diverse applications across a spectrum of industries such as robotics, films, and video games, as it closely mirrors the complexity of real-world multi-object environments. Convention…
3D Shape GenerationDiversityLanguage ModelingLanguage Modelling+3OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models
Personalization is an important topic in text-to-image generation, especially the challenging multi-concept personalization. Current multi-concept methods are struggling with identity preservation, occlusion, and the har…
DenoisingImage GenerationLayout GenerationText to Image Generation+1ChatPattern: Layout Pattern Customization via Natural Language
Existing works focus on fixed-size layout pattern generation, while the more practical free-size pattern generation receives limited attention. In this paper, we propose ChatPattern, a novel Large-Language-Model (LLM) po…
Language ModelingLanguage ModellingLarge Language ModelLayout GenerationTowards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints
Controllable layout generation refers to the process of creating a plausible visual arrangement of elements within a graphic design (e.g., document and web designs) with constraints representing design intentions. Althou…
Layout DesignLayout GenerationText2Street: Controllable Text-to-image Generation for Street Views
Text-to-image generation has made remarkable progress with the emergence of diffusion models. However, it is still a difficult task to generate images for street views based on text, mainly because the road topology of s…
Image GenerationLayout GenerationObjectText to Image Generation+1Open-Universe Indoor Scene Generation using LLM Program Synthesis and Uncurated Object Databases
We present a system for generating indoor scenes in response to text prompts. The prompts are not limited to a fixed vocabulary of scene descriptions, and the objects in generated scenes are not restricted to a fixed set…
Layout GenerationObjectProgram SynthesisScene Generation+1Spot the Error: Non-autoregressive Graphic Layout Generation with Wireframe Locator
Layout generation is a critical step in graphic design to achieve meaningful compositions of elements. Most previous works view it as a sequence generation problem by concatenating element attribute tokens (i.e., categor…
AttributeLayout GenerationGraph Transformer GANs with Graph Masked Modeling for Architectural Layout Generation
We present a novel graph Transformer generative adversarial network (GTGAN) to learn effective graph node relations in an end-to-end fashion for challenging graph-constrained architectural layout generation tasks. The pr…
Generative Adversarial NetworkGraph Representation LearningLayout GenerationNode Classification+1FurniScene: A Large-scale 3D Room Dataset with Intricate Furnishing Scenes
Indoor scene generation has attracted significant attention recently as it is crucial for applications of gaming, virtual reality, and interior design. Current indoor scene generation methods can produce reasonable room …
DiversityLayout GenerationScene GenerationVisual Layout Composer: Image-Vector Dual Diffusion Model for Design Layout Generation
This paper proposes an image-vector dual diffusion model for generative layout design. Distinct from prior efforts that mostly ignore element-level visual information our approach integrates the power of a pre-traine…
Layout DesignLayout GenerationPositionMaskPLAN: Masked Generative Layout Planning from Partial Input
Layout planning spanning from architecture to interior design is a slow iterative exploration of ill-defined problems adopting a "I'll know it when I see it" approach to potential solutions. Recent advances in genera…
AttributeDesign SynthesisLayout GenerationPlanning and Rendering: Towards Product Poster Generation with Diffusion Models
Product poster generation significantly optimizes design efficiency and reduces production costs. Prevailing methods predominantly rely on image-inpainting methods to generate clean background images for given products. …
DiversityImage InpaintingLayout GenerationCityGen: Infinite and Controllable 3D City Layout Generation
City layout generation has recently gained significant attention. The goal of this task is to automatically generate the layout of a city scene, including elements such as roads, buildings, vegetation, as well as other u…
DiversityLayout GenerationDetailed Human-Centric Text Description-Driven Large Scene Synthesis
Text-driven large scene image synthesis has made significant progress with diffusion models, but controlling it is challenging. While using additional spatial controls with corresponding texts has improved the controllab…
Image GenerationLanguage ModelingLanguage ModellingLarge Language Model+1Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation
Content-aware graphic layout generation aims to automatically arrange visual elements along with a given content, such as an e-commerce product image. In this paper, we argue that the current layout generation approaches…
Layout GenerationRetrievalLayoutPrompter: Awaken the Design Ability of Large Language Models
Conditional graphic layout generation, which automatically maps user constraints to high-quality layouts, has attracted widespread attention today. Although recent works have achieved promising performance, the lack of v…
In-Context LearningLayout Generation