Interpretable Text-to-Image Synthesis with Hierarchical Semantic Layout Generation

Hong, Seunghoon; Yang, Dingdong; Choi, Jong-Wook; Lee, Honglak

doi:10.1007/978-3-030-28954-6_5

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2021

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“…Some works have aimed to understand the model's prediction strategies, e.g., in order to validate the model [104]. Others visualize the learned representations and try to make the model itself more interpretable [75]. Finally, other works have sought to use explanations to learn about the data, e.g., by visualizing interesting input-prediction patterns extracted by a deep neural network model in scientific applications [186].…”

Section: S U C C E S S F U L U S E S O F E X P L a N A T I O N mentioning

confidence: 99%