Papers Image Generation from Scene Graphs
“Image Generation from Scene Graphs” 태그가 달린 논문 8편 · 필터 해제
Fine-Grained is Too Coarse: A Novel Data-Centric Approach for Efficient Scene Graph Generation
Learning to compose visual relationships from raw images in the form of scene graphs is a highly challenging task due to contextual dependencies, but it is essential in computer vision applications that depend on scene u…
Graph GenerationImage GenerationImage Generation from Scene GraphsScene Graph Generation+1SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis
Text-conditioned image generation has made significant progress in recent years with generative adversarial networks and more recently, diffusion models. While diffusion models conditioned on text prompts have produced i…
Image GenerationImage Generation from Scene GraphsSegmentationText to Image Generation+1Transformer-based Image Generation from Scene Graphs
Graph-structured scene descriptions can be efficiently used in generative models to control the composition of the generated image. Previous approaches are based on the combination of graph convolutional networks and adv…
Image GenerationImage Generation from Scene GraphsTransforming Image Generation from Scene Graphs
Generating images from semantic visual knowledge is a challenging task, that can be useful to condition the synthesis process in complex, subtle, and unambiguous ways, compared to alternatives such as class labels or tex…
DecoderImage GenerationImage Generation from Scene GraphsMIGS: Meta Image Generation from Scene Graphs
Generation of images from scene graphs is a promising direction towards explicit scene generation and manipulation. However, the images generated from the scene graphs lack quality, which in part comes due to high diffic…
DiversityImage GenerationImage Generation from Scene GraphsMeta-Learning+1Heuristics for Image Generation from Scene Graphs
Generating realistic images from scene graphs requires neural networks to be able to reason about object relationships and compositionality. Learning a sufficiently rich representation to facilitate this reasoning is cha…
Image GenerationImage Generation from Scene GraphsRelationUsing Scene Graph Context to Improve Image Generation
Generating realistic images from scene graphs asks neural networks to be able to reason about object relationships and compositionality. As a relatively new task, how to properly ensure the generated images comply with s…
Image GenerationImage Generation from Scene GraphsOpen-Ended Question AnsweringRelationImage Generation from Scene Graphs
To truly understand the visual world our models should be able not only to recognize images but also generate them. To this end, there has been exciting recent progress on generating images from natural language descript…
Image GenerationImage Generation from Scene GraphsLayout-to-Image Generation