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Layout-to-Image Generation

Layout-to-image generation its the task to generate a scene based on the given layout. The layout describes the location of the objects to be included in the output image. In this section, you can find state-of-the-art leaderboards for Layout-to-image generation.

Papers

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Showing 1–41 of 41 papers

TitleStatusHype
Adding Conditional Control to Text-to-Image Diffusion ModelsCode7
High-Resolution Image Synthesis with Latent Diffusion ModelsCode4
GLIGEN: Open-Set Grounded Text-to-Image GenerationCode4
HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image GenerationCode2
LayoutDiffusion: Controllable Diffusion Model for Layout-to-image GenerationCode2
Adversarial Supervision Makes Layout-to-Image Diffusion Models ThriveCode2
Modeling Image Composition for Complex Scene GenerationCode1
ToLo: A Two-Stage, Training-Free Layout-To-Image Generation Framework For High-Overlap LayoutsCode1
Semantic Image Manipulation Using Scene GraphsCode1
Training-free Composite Scene Generation for Layout-to-Image SynthesisCode1
Image Generation from Scene GraphsCode1
Image Synthesis From Reconfigurable Layout and StyleCode1
Interactive Image Synthesis with Panoptic Layout GenerationCode1
Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image GenerationCode1
Context-Aware Layout to Image Generation with Enhanced Object AppearanceCode1
Learning Canonical Representations for Scene Graph to Image GenerationCode1
Learning Layout and Style Reconfigurable GANs for Controllable Image SynthesisCode1
LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed PromptsCode1
Freestyle Layout-to-Image SynthesisCode1
LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts—0
Boundary Attention Constrained Zero-Shot Layout-To-Image Generation—0
CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation—0
DivCon: Divide and Conquer for Progressive Text-to-Image Generation—0
Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation—0
Image Generation from Layout—0
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation—0
LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation—0
Layout-to-Image Generation with Localized Descriptions using ControlNet with Cross-Attention Control—0
LTOS: Layout-controllable Text-Object Synthesis via Adaptive Cross-attention Fusions—0
ObjBlur: A Curriculum Learning Approach With Progressive Object-Level Blurring for Improved Layout-to-Image Generation—0
Object-Centric Image Generation from Layouts—0
PlanGen: Towards Unified Layout Planning and Image Generation in Auto-Regressive Vision Language Models—0
Psi-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models—0
ReCo: Region-Controlled Text-to-Image Generation—0
SmartMask: Context Aware High-Fidelity Mask Generation for Fine-grained Object Insertion and Layout Control—0
SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-form Layout-to-Image Generation—0
Generating Annotated High-Fidelity Images Containing Multiple Coherent ObjectsCode0
Specifying Object Attributes and Relations in Interactive Scene GenerationCode0
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and StyleCode0
Rethinking The Training And Evaluation of Rich-Context Layout-to-Image GenerationCode0
Guided Image Synthesis via Initial Image Editing in Diffusion ModelCode0
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