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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 1–10 of 41 papers

TitleStatusHype
Psi-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models—0
PlanGen: Towards Unified Layout Planning and Image Generation in Auto-Regressive Vision Language Models—0
ToLo: A Two-Stage, Training-Free Layout-To-Image Generation Framework For High-Overlap LayoutsCode1
CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation—0
Boundary Attention Constrained Zero-Shot Layout-To-Image Generation—0
HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image GenerationCode2
Rethinking The Training And Evaluation of Rich-Context Layout-to-Image GenerationCode0
Training-free Composite Scene Generation for Layout-to-Image SynthesisCode1
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
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