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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
Adding Conditional Control to Text-to-Image Diffusion ModelsCode7
GLIGEN: Open-Set Grounded Text-to-Image GenerationCode4
High-Resolution Image Synthesis with Latent Diffusion ModelsCode4
Adversarial Supervision Makes Layout-to-Image Diffusion Models ThriveCode2
LayoutDiffusion: Controllable Diffusion Model for Layout-to-image GenerationCode2
HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image GenerationCode2
Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image GenerationCode1
Image Generation from Scene GraphsCode1
Freestyle Layout-to-Image SynthesisCode1
Context-Aware Layout to Image Generation with Enhanced Object AppearanceCode1
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