Speech_driven_gesture_generation_with_autoencoder
image-quality-assessment
| Speech_driven_gesture_generation_with_autoencoder | image-quality-assessment | |
|---|---|---|
| 4 | 2 | |
| 103 | 2,003 | |
| 1.0% | 1.2% | |
| 0.0 | 0.0 | |
| 10 months ago | 5 months ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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Speech_driven_gesture_generation_with_autoencoder
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[R] Moving Fast and Slow: Analysis of Representations and Post-Processing in Speech-Driven Automatic Gesture Generation. Code and demo available
Project page: https://svito-zar.github.io/audio2gestures/
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[R] Moving Fast and Slow: Analysis of Representations and Post-Processing in Speech-Driven Automatic Gesture Generation. Code and dataset available
Project page: https://svito-zar.github.io/audio2gestures/
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[R] Moving Fast and Slow: Analysis of Representations and Post-Processing in Speech-Driven Automatic Gesture Generation. Code available
Code: https://github.com/GestureGeneration/Speech_driven_gesture_generation_with_autoencoder
image-quality-assessment
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And so it begins: AI(Midjourney) wins art competition without anyone realising.
It's an ongoing research area, but here's a Google model that assigns images ratings based on how good they look. It's pretty good, and it's from 2019 so not even close to state of the art. Paired with Stable Diffusion, it could indeed curate itself. I might have to try that actually.
- Extracting Images from Video
What are some alternatives?
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Advanced-Deep-Learning-with-Keras - Advanced Deep Learning with Keras, published by Packt