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Specifying Object Attributes and Relations in Interactive Scene Generation

About

We introduce a method for the generation of images from an input scene graph. The method separates between a layout embedding and an appearance embedding. The dual embedding leads to generated images that better match the scene graph, have higher visual quality, and support more complex scene graphs. In addition, the embedding scheme supports multiple and diverse output images per scene graph, which can be further controlled by the user. We demonstrate two modes of per-object control: (i) importing elements from other images, and (ii) navigation in the object space, by selecting an appearance archetype. Our code is publicly available at https://www.github.com/ashual/scene_generation

Oron Ashual, Lior Wolf• 2019

Related benchmarks

TaskDatasetResultRank
Layout-to-Image SynthesisCoco-Stuff (test)
FID63.44
25
Layout-to-Image GenerationCOCO Stuff
FID48.7
23
Layout-to-Image SynthesisCOCO-Stuff 22 (test)
Inception Score15.23
15
Image GenerationCoco-Stuff (test)
Inception Score16.4
12
Scene Graph to Image GenerationCoco-Stuff (test)
Inception Score16.4
12
Floorplan GenerationRPLAN
Realism Score-1
11
Image GenerationLandscape
FID144.8
9
Semantic Image SynthesisCoco-Stuff (test)
CAS Score25.89
8
House layout generationLIFULL HOME's dataset
Realism (All Groups)-0.55
7
Layout-to-Image GenerationCOCO
SceneFID33.46
6
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