Sign Up Now!

Sign up and get personalized intelligence briefing delivered daily.


Sign Up

Articles related to "painting"


The Non-Treachery of Dataset

  • There were various efforts for letting AI create art (e.g., a Model, trained on 24k Painting Dataset from Kaggle).
  • On one hand, we would like to train an end-to-end deep convolution model to investigate the capability of the deep model in fine-art painting classification problem.
  • On the other hand, we argue that classification of fine-art collections is a more challenging problem in comparison to objects or face recognition.
  • So does AI has the imagination to recognize art, a non-representational production of the human brain, heart, and hand?
  • AI is perplexed as well — the most it can do, is distinguishing between artist styles, depicted objects, and art movement features.
  • Exactly: ArtGAN cannot reconstruct famous paintings (in this case because it’s trained on the huge dataset from various art epochs).
  • It’s a disruptive force which lets us re-consider the human factor in the concept of art.

save | comments | report | share on


The Non-Treachery of Dataset

  • There were various efforts for letting AI create art (e.g., a Model, trained on 24k Painting Dataset from Kaggle).
  • On one hand, we would like to train an end-to-end deep convolution model to investigate the capability of the deep model in fine-art painting classification problem.
  • On the other hand, we argue that classification of fine-art collections is a more challenging problem in comparison to objects or face recognition.
  • So does AI has the imagination to recognize art, a non-representational production of the human brain, heart, and hand?
  • AI is perplexed as well — the most it can do, is distinguishing between artist styles, depicted objects, and art movement features.
  • Exactly: ArtGAN cannot reconstruct famous paintings (in this case because it’s trained on the huge dataset from various art epochs).
  • It’s a disruptive force which lets us re-consider the human factor in the concept of art.

save | comments | report | share on


The Non-Treachery of Dataset

  • There were various efforts for letting AI create art (e.g., a Model, trained on 24k Painting Dataset from Kaggle).
  • On one hand, we would like to train an end-to-end deep convolution model to investigate the capability of the deep model in fine-art painting classification problem.
  • On the other hand, we argue that classification of fine-art collections is a more challenging problem in comparison to objects or face recognition.
  • So does AI has the imagination to recognize art, a non-representational production of the human brain, heart, and hand?
  • AI is perplexed as well — the most it can do, is distinguishing between artist styles, depicted objects, and art movement features.
  • Exactly: ArtGAN cannot reconstruct famous paintings (in this case because it’s trained on the huge dataset from various art epochs).
  • It’s a disruptive force which lets us re-consider the human factor in the concept of art.

save | comments | report | share on


The Non-Treachery of Dataset

  • There were various efforts for letting AI create art (e.g., a Model, trained on 24k Painting Dataset from Kaggle).
  • On one hand, we would like to train an end-to-end deep convolution model to investigate the capability of the deep model in fine-art painting classification problem.
  • On the other hand, we argue that classification of fine-art collections is a more challenging problem in comparison to objects or face recognition.
  • So does AI has the imagination to recognize art, a non-representational production of the human brain, heart, and hand?
  • AI is perplexed as well — the most it can do, is distinguishing between artist styles, depicted objects, and art movement features.
  • Exactly: ArtGAN cannot reconstruct famous paintings (in this case because it’s trained on the huge dataset from various art epochs).
  • It’s a disruptive force which lets us re-consider the human factor in the concept of art.

save | comments | report | share on


The Non-Treachery of Dataset

  • There were various efforts for letting AI create art (e.g., a Model, trained on 24k Painting Dataset from Kaggle).
  • On one hand, we would like to train an end-to-end deep convolution model to investigate the capability of the deep model in fine-art painting classification problem.
  • On the other hand, we argue that classification of fine-art collections is a more challenging problem in comparison to objects or face recognition.
  • So does AI has the imagination to recognize art, a non-representational production of the human brain, heart, and hand?
  • AI is perplexed as well — the most it can do, is distinguishing between artist styles, depicted objects, and art movement features.
  • Exactly: ArtGAN cannot reconstruct famous paintings (in this case because it’s trained on the huge dataset from various art epochs).
  • It’s a disruptive force which lets us re-consider the human factor in the concept of art.

save | comments | report | share on