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Layout Generation
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
ReLayout: Integrating Relation Reasoning for Content-aware Layout Generation with Multi-modal Large Language Models
EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence
LLM-driven Indoor Scene Layout Generation via Scaled Human-aligned Data Synthesis and Multi-Stage Preference Optimization
Direct Numerical Layout Generation for 3D Indoor Scene Synthesis via Spatial Reasoning
Aggregated Structural Representation with Large Language Models for Human-Centric Layout Generation
TextDiffuser-RL: Efficient and Robust Text Layout Optimization for High-Fidelity Text-to-Image Synthesis
Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers
PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation
Generating Animated Layouts as Structured Text Representations
LayoutCoT: Unleashing the Deep Reasoning Potential of Large Language Models for Layout Generation
Hierarchical and Step-Layer-Wise Tuning of Attention Specialty for Multi-Instance Synthesis in Diffusion Transformers
Decoupled Diffusion Sparks Adaptive Scene Generation
Relation-Rich Visual Document Generator for Visual Information Extraction
Computer-Aided Layout Generation for Building Design: A Review
Efficient Multi-Instance Generation with Janus-Pro-Dirven Prompt Parsing
RelTriple: Learning Plausible Indoor Layouts by Integrating Relationship Triples into the Diffusion Process
BADGR: Bundle Adjustment Diffusion Conditioned by GRadients for Wide-Baseline Floor Plan Reconstruction
MetaSpatial: Reinforcing 3D Spatial Reasoning in VLMs for the Metaverse
HSM: Hierarchical Scene Motifs for Multi-Scale Indoor Scene Generation
AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Models
FoREST: Frame of Reference Evaluation in Spatial Reasoning Tasks
Textual-to-Visual Iterative Self-Verification for Slide Generation
Smaller But Better: Unifying Layout Generation with Smaller Large Language Models
Illuminating Spaces: Deep Reinforcement Learning and Laser-Wall Partitioning for Architectural Layout Generation
PAID: A Framework of Product-Centric Advertising Image Design
Text Semantics to Flexible Design: A Residential Layout Generation Method Based on Stable Diffusion Model
Spatial Information Integration in Small Language Models for Document Layout Generation and Classification
SceneBooth: Diffusion-based Framework for Subject-preserved Text-to-Image Generation
SLayR: Scene Layout Generation with Rectified Flow
CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation
VASCAR: Content-Aware Layout Generation via Visual-Aware Self-Correction
LayoutVLM: Differentiable Optimization of 3D Layout via Vision-Language Models
DogLayout: Denoising Diffusion GAN for Discrete and Continuous Layout Generation
Enhancing Document AI Data Generation Through Graph-Based Synthetic Layouts
AnySynth: Harnessing the Power of Image Synthetic Data Generation for Generalized Vision-Language Tasks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.