2019
Seq-SG2SL: Inferring Semantic Layout From Scene Graph Through Sequence to Sequence Learning
ICCV 2019poster
Generating semantic layout from scene graph is a crucial intermediate task connecting text to image. We present a conceptually simple, flexible and general framework using sequence to sequence (seq-to-seq) learning for this task. The framework, called Seq-SG2SL, derives sequence proxies for the two…