SOTAVerified

Layout Generation

Papers

Showing 51–100 of 148 papers

TitleStatusHype
LayoutDM: Transformer-based Diffusion Model for Layout Generation—0
LayoutFlow: Flow Matching for Layout Generation—0
LayoutTransformer: Relation-Aware Scene Layout Generation—0
LayoutVLM: Differentiable Optimization of 3D Layout via Vision-Language Models—0
Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers—0
Learning Object Context for Novel-View Scene Layout Generation—0
LLM-driven Indoor Scene Layout Generation via Scaled Human-aligned Data Synthesis and Multi-Stage Preference Optimization—0
LLplace: The 3D Indoor Scene Layout Generation and Editing via Large Language Model—0
LTSim: Layout Transportation-based Similarity Measure for Evaluating Layout Generation—0
MaskPLAN: Masked Generative Layout Planning from Partial Input—0
Multi-Agent Synergy-Driven Iterative Visual Narrative Synthesis—0
Multimodal Attention for Layout Synthesis in Diverse Domains—0
Neural Design Network: Graphic Layout Generation with Constraints—0
OPAL-Net: A Generative Model for Part-based Object Layout Generation—0
Open-Universe Indoor Scene Generation using LLM Program Synthesis and Uncurated Object Databases—0
PAID: A Framework of Product-Centric Advertising Image Design—0
Person-in-Context Synthesiswith Compositional Structural Space—0
Physics-based Scene Layout Generation from Human Motion—0
Planning and Rendering: Towards Product Poster Generation with Diffusion Models—0
PLay: Parametrically Conditioned Layout Generation using Latent Diffusion—0
PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation—0
READ: Recursive Autoencoders for Document Layout Generation—0
Relationship-Aware Spatial Perception Fusion for Realistic Scene Layout Generation—0
ReLayout: Integrating Relation Reasoning for Content-aware Layout Generation with Multi-modal Large Language Models—0
RelTriple: Learning Plausible Indoor Layouts by Integrating Relationship Triples into the Diffusion Process—0
Revision Matters: Generative Design Guided by Revision Edits—0
SceneBooth: Diffusion-based Framework for Subject-preserved Text-to-Image Generation—0
Layout Agnostic Scene Text Image Synthesis with Diffusion Models—0
SKE-Layout: Spatial Knowledge Enhanced Layout Generation with LLMs—0
SLayR: Scene Layout Generation with Rectified Flow—0
Spatial Information Integration in Small Language Models for Document Layout Generation and Classification—0
Structured Graph Variational Autoencoders for Indoor Furniture layout Generation—0
Text2Street: Controllable Text-to-image Generation for Street Views—0
TextDiffuser-RL: Efficient and Robust Text Layout Optimization for High-Fidelity Text-to-Image Synthesis—0
Text Semantics to Flexible Design: A Residential Layout Generation Method Based on Stable Diffusion Model—0
Textual-to-Visual Iterative Self-Verification for Slide Generation—0
Adversarial Model for Rotated Indoor Scenes Planning—0
Towards Full-to-Empty Room Generation with Structure-Aware Feature Encoding and Soft Semantic Region-Adaptive Normalization—0
Triplet-Aware Scene Graph Embeddings—0
UI Layout Generation with LLMs Guided by UI Grammar—0
Unifying Layout Generation with a Decoupled Diffusion Model—0
LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction—0
Unsupervised Domain Adaption with Pixel-level Discriminator for Image-aware Layout Generation—0
Variational Transformer Networks for Layout Generation—0
VASCAR: Content-Aware Layout Generation via Visual-Aware Self-Correction—0
Visual Layout Composer: Image-Vector Dual Diffusion Model for Design Layout Generation—0
Visual Programming for Text-to-Image Generation and Evaluation—0
The Layout Generation Algorithm of Graphic Design Based on Transformer-CVAE—0
VMap: An Interactive Rectangular Space-filling Visualization for Map-like Vertex-centric Graph Exploration—0
EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence—0
Show:102550
← PrevPage 2 of 3Next →

No leaderboard results yet.