Papers with Code 아카이브
Layout-to-Image Generation
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- 하위 태스크
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- 평가표
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- 보존된 평가 기록
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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.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
PlanGen: Towards Unified Layout Planning and Image Generation in Auto-Regressive Vision Language Models
ToLo: A Two-Stage, Training-Free Layout-To-Image Generation Framework For High-Overlap Layouts
CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation
Boundary Attention Constrained Zero-Shot Layout-To-Image Generation
HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image Generation
Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation
Training-free Composite Scene Generation for Layout-to-Image Synthesis
LTOS: Layout-controllable Text-Object Synthesis via Adaptive Cross-attention Fusions
ObjBlur: A Curriculum Learning Approach With Progressive Object-Level Blurring for Improved Layout-to-Image Generation
DivCon: Divide and Conquer for Progressive Text-to-Image Generation
Layout-to-Image Generation with Localized Descriptions using ControlNet with Cross-Attention Control
Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
SmartMask: Context Aware High-Fidelity Mask Generation for Fine-grained Object Insertion and Layout Control
LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts
SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-form Layout-to-Image Generation
LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation
Guided Image Synthesis via Initial Image Editing in Diffusion Model
Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation
LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation
Freestyle Layout-to-Image Synthesis
LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation
Adding Conditional Control to Text-to-Image Diffusion Models
GLIGEN: Open-Set Grounded Text-to-Image Generation
ReCo: Region-Controlled Text-to-Image Generation
Modeling Image Composition for Complex Scene Generation
Interactive Image Synthesis with Panoptic Layout Generation
High-Resolution Image Synthesis with Latent Diffusion Models
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style
Context-Aware Layout to Image Generation with Enhanced Object Appearance
Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects
Semantic Image Manipulation Using Scene Graphs
Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis
Object-Centric Image Generation from Layouts
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