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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 26–41 of 41 papers

TitleStatusHype
GLIGEN: Open-Set Grounded Text-to-Image GenerationCode4
ReCo: Region-Controlled Text-to-Image Generation—0
Modeling Image Composition for Complex Scene GenerationCode1
Interactive Image Synthesis with Panoptic Layout GenerationCode1
High-Resolution Image Synthesis with Latent Diffusion ModelsCode4
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and StyleCode0
Context-Aware Layout to Image Generation with Enhanced Object AppearanceCode1
Generating Annotated High-Fidelity Images Containing Multiple Coherent ObjectsCode0
Semantic Image Manipulation Using Scene GraphsCode1
Learning Layout and Style Reconfigurable GANs for Controllable Image SynthesisCode1
Object-Centric Image Generation from Layouts—0
Learning Canonical Representations for Scene Graph to Image GenerationCode1
Specifying Object Attributes and Relations in Interactive Scene GenerationCode0
Image Synthesis From Reconfigurable Layout and StyleCode1
Image Generation from Layout—0
Image Generation from Scene GraphsCode1
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