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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 21–30 of 41 papers

TitleStatusHype
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and StyleCode0
Guided Image Synthesis via Initial Image Editing in Diffusion ModelCode0
Rethinking The Training And Evaluation of Rich-Context Layout-to-Image GenerationCode0
Specifying Object Attributes and Relations in Interactive Scene GenerationCode0
LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts—0
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation—0
Image Generation from Layout—0
LTOS: Layout-controllable Text-Object Synthesis via Adaptive Cross-attention Fusions—0
Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation—0
ObjBlur: A Curriculum Learning Approach With Progressive Object-Level Blurring for Improved Layout-to-Image Generation—0
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