Text Style Brush - Transfer of text aesthetics from a single example | Paper Explained
Skills:
Reading ML Papers85%
Key Takeaways
This video explains the Text Style Brush technique for transferring text aesthetics from a single example
Original Description
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In this video I explain the "Text Style Brush - Transfer of text aesthetics from a single example" paper from Facebook AI research.
They achieve a high-quality, single-shot, text style transfer across multiple domains (handwritten, scene text) through a combination of self-supervised and supervised learning.
This work promises many exciting future applications, like augmented/mixed reality, but also raises societal concerns related to deep fakes.
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✅ Paper: https://ai.facebook.com/research/publications/textstylebrush-transfer-of-text-aesthetics-from-a-single-example/
✅ Blog: https://ai.facebook.com/blog/ai-can-now-emulate-text-style-in-images-in-one-shot-using-just-a-single-word
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⌚️ Timetable:
00:00 What is Text Style Brush about?
02:35 Key points of the paper
04:05 A high-level overview of the TSB pipeline
13:00 Diving deeper - Encoders
14:30 Diving deeper - Generator and map network
15:30 Adaptive Instance Normalization
17:40 Text perceptual loss
21:15 Text content loss
23:10 Reconstruction loss
27:20 New Imgur 5k dataset
28:05 Ablations
30:15 Text reco accuracy, quantitative quality, user study
32:40 Failure cases
33:40 Future applications and deep fakes
35:10 Conclusions
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Chapters (15)
What is Text Style Brush about?
2:35
Key points of the paper
4:05
A high-level overview of the TSB pipeline
13:00
Diving deeper - Encoders
14:30
Diving deeper - Generator and map network
15:30
Adaptive Instance Normalization
17:40
Text perceptual loss
21:15
Text content loss
23:10
Reconstruction loss
27:20
New Imgur 5k dataset
28:05
Ablations
30:15
Text reco accuracy, quantitative quality, user study
32:40
Failure cases
33:40
Future applications and deep fakes
35:10
Conclusions
🎓
Tutor Explanation
DeepCamp AI