Papers Layout Generation
“Layout Generation” 태그가 달린 논문 148편 · 필터 해제
AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Models
Visual layouts are essential in graphic design fields such as advertising, posters, and web interfaces. The application of generative models for content-aware layout generation has recently gained traction. However, thes…
Large Language ModelLayout DesignLayout GenerationFoREST: Frame of Reference Evaluation in Spatial Reasoning Tasks
Spatial reasoning is a fundamental aspect of human intelligence. One key concept in spatial cognition is the Frame of Reference (FoR), which identifies the perspective of spatial expressions. Despite its significance, Fo…
Image GenerationLayout GenerationSpatial ReasoningText to Image Generation+1Textual-to-Visual Iterative Self-Verification for Slide Generation
Generating presentation slides is a time-consuming task that urgently requires automation. Due to their limited flexibility and lack of automated refinement mechanisms, existing autonomous LLM-based agents face constrain…
Layout GenerationSmaller But Better: Unifying Layout Generation with Smaller Large Language Models
We propose LGGPT, an LLM-based model tailored for unified layout generation. First, we propose Arbitrary Layout Instruction (ALI) and Universal Layout Response (ULR) as the uniform I/O template. ALI accommodates arbitrar…
Layout GenerationIlluminating Spaces: Deep Reinforcement Learning and Laser-Wall Partitioning for Architectural Layout Generation
Space layout design (SLD), occurring in the early stages of the design process, nonetheless influences both the functionality and aesthetics of the ultimate architectural outcome. The complexity of SLD necessitates innov…
Deep Reinforcement LearningLayout DesignLayout GenerationOpenAI Gym+1PAID: A Framework of Product-Centric Advertising Image Design
In E-commerce platforms, a full advertising image is composed of a background image and marketing taglines. Automatic ad image design reduces human costs and plays a crucial role. For the convenience of users, a novel au…
Image GenerationLayout GenerationMarketingText Semantics to Flexible Design: A Residential Layout Generation Method Based on Stable Diffusion Model
Flexibility in the AI-based residential layout design remains a significant challenge, as traditional methods like rule-based heuristics and graph-based generation often lack flexibility and require substantial design kn…
DiversityLayout DesignLayout GenerationSpatial Information Integration in Small Language Models for Document Layout Generation and Classification
Document layout understanding is a field of study that analyzes the spatial arrangement of information in a document hoping to understand its structure and layout. Models such as LayoutLM (and its subsequent iterations) …
Layout Generationtext-classificationText ClassificationSceneBooth: Diffusion-based Framework for Subject-preserved Text-to-Image Generation
Due to the demand for personalizing image generation, subject-driven text-to-image generation method, which creates novel renditions of an input subject based on text prompts, has received growing research interest. Exis…
Image GenerationImage HarmonizationLayout GenerationText to Image Generation+1SKE-Layout: Spatial Knowledge Enhanced Layout Generation with LLMs
Generating layouts from textual descriptions by large language models (LLMs) plays a crucial role in precise spatial reasoning-induced domains such as robotic object rearrangement and text-to-image generation. Howeve…
Contrastive LearningImage GenerationLayout GenerationObject Rearrangement+3SLayR: Scene Layout Generation with Rectified Flow
We introduce SLayR, Scene Layout Generation with Rectified flow. State-of-the-art text-to-image models achieve impressive results. However, they generate images end-to-end, exposing no fine-grained control over the proce…
Layout GenerationCreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation
Diffusion models have been recognized for their ability to generate images that are not only visually appealing but also of high artistic quality. As a result, Layout-to-Image (L2I) generation has been proposed to levera…
Image GenerationLayout GenerationLayout-to-Image GenerationVASCAR: Content-Aware Layout Generation via Visual-Aware Self-Correction
Large language models (LLMs) have proven effective for layout generation due to their ability to produce structure-description languages, such as HTML or JSON, even without access to visual information. Recently, LLM pro…
Layout GenerationLayoutVLM: Differentiable Optimization of 3D Layout via Vision-Language Models
Open-universe 3D layout generation arranges unlabeled 3D assets conditioned on language instruction. Large language models (LLMs) struggle with generating physically plausible 3D scenes and adherence to input instruction…
Layout GenerationDogLayout: Denoising Diffusion GAN for Discrete and Continuous Layout Generation
Layout Generation aims to synthesize plausible arrangements from given elements. Currently, the predominant methods in layout generation are Generative Adversarial Networks (GANs) and diffusion models, each presenting it…
DenoisingLayout GenerationEnhancing Document AI Data Generation Through Graph-Based Synthetic Layouts
The development of robust Document AI models has been constrained by limited access to high-quality, labeled datasets, primarily due to data privacy concerns, scarcity, and the high cost of manual annotation. Traditional…
Document AIDocument ClassificationDomain AdaptationImage Augmentation+6AnySynth: Harnessing the Power of Image Synthetic Data Generation for Generalized Vision-Language Tasks
Diffusion models have recently been employed to generate high-quality images, reducing the need for manual data collection and improving model generalization in tasks such as object detection, instance segmentation, and …
Few-Shot Object DetectionImage GenerationImage RetrievalInstance Segmentation+5GLDesigner: Leveraging Multi-Modal LLMs as Designer for Enhanced Aesthetic Text Glyph Layouts
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 specific…
Layout DesignLayout GenerationHiCo: Hierarchical Controllable Diffusion Model for Layout-to-image Generation
The task of layout-to-image generation involves synthesizing images based on the captions of objects and their spatial positions. Existing methods still struggle in complex layout generation, where common bad cases inclu…
DisentanglementImage GenerationLayout GenerationLayout-to-Image GenerationLayout-Corrector: Alleviating Layout Sticking Phenomenon in Discrete Diffusion Model
Layout generation is a task to synthesize a harmonious layout with elements characterized by attributes such as category, position, and size. Human designers experiment with the placement and modification of elements to …
Layout Generation