"I have always been curious while reading novels how the characters mentioned in them would look in reality.
Originally shared by Wayne Radinsky
"I have always been curious while reading novels how the characters mentioned in them would look in reality. Imagining an overall persona is still viable, but getting the description to the most profound details is quite challenging at large and often has various interpretations from person to person. Many at times, I end up imagining a very blurry face for the character until the very end of the story. It is only when the book gets translated into a movie, that the blurry face gets filled up with details. For instance, I could never imagine the exact face of Rachel from the book 'The Girl on the Train'. But when the movie came out, I could relate with Emily Blunt's face being the face of Rachel."
"My search for a dataset of faces with nice, rich and varied textual descriptions began." "The Face2Text v1.0 dataset contains natural language descriptions for 400 randomly selected images from the LFW (Labelled Faces in the Wild) dataset."
The project combines the architectures of StackGAN and ProGAN to generate faces.
https://medium.com/@animeshsk3/t2f-text-to-face-generation-using-deep-learning-b3b6ba5a5a93
"I have always been curious while reading novels how the characters mentioned in them would look in reality. Imagining an overall persona is still viable, but getting the description to the most profound details is quite challenging at large and often has various interpretations from person to person. Many at times, I end up imagining a very blurry face for the character until the very end of the story. It is only when the book gets translated into a movie, that the blurry face gets filled up with details. For instance, I could never imagine the exact face of Rachel from the book 'The Girl on the Train'. But when the movie came out, I could relate with Emily Blunt's face being the face of Rachel."
"My search for a dataset of faces with nice, rich and varied textual descriptions began." "The Face2Text v1.0 dataset contains natural language descriptions for 400 randomly selected images from the LFW (Labelled Faces in the Wild) dataset."
The project combines the architectures of StackGAN and ProGAN to generate faces.
https://medium.com/@animeshsk3/t2f-text-to-face-generation-using-deep-learning-b3b6ba5a5a93
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