Semantic Object Accuracy for Generative Text-to-Image Synthesis

29 Oct 2019 Tobias Hinz Stefan Heinrich Stefan Wermter

Generative adversarial networks conditioned on textual image descriptions are capable of generating realistic-looking images. However, current methods still struggle to generate images based on complex image captions from a heterogeneous domain... (read more)

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Datasets


Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Text-to-Image Generation COCO OP-GAN FID 24.70 # 1
Inception score 27.88 # 5
SOA-C 35.85 # 1

Methods used in the Paper


METHOD TYPE
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