AI-Based Animoji Without The iPhone X | Two Minute Papers #236

TL;DR

A technique that creates animated digital avatars from one photograph without specialized equipment using neural networks.

Transcript

Dear Fellow Scholars, this is Two Minute Papers with Károly Zsolnai-Fehér. Many of you have surely heard the word Animoji, which refers to these emoji figures that are animated in real time and react to our facial gestures. This is implemented in the new iPhone X phones, however, to accomplish this, it uses a dot projector get a good enough underst... Read More

Key Insights

• 🫥 Animoji on iPhone X phones use a dot projector to understand facial geometry for real-time animation.
• 🎁 The presented technique creates digital avatars from a single photo without specialized equipment.
• 👱 Hair reconstruction is achieved using a deep neural network and a dataset of existing hairstyles.
• 🙂 Lighting conditions and expressions are handled well by the technique.
• 👻 Retargeting allows gestures to be transferred to different characters.
• 🍉 The technique's results outperform competitors in terms of quality.
• ❓ The framework is available for download.

Questions & Answers

Q: How does the technique create digital avatars from a single photo?

The technique segments the input image into face and hair parts. The hair part is processed by a neural network that extracts attributes like length and spikiness, and a hairstyle from a dataset is chosen based on these attributes.

Q: Can the avatars be used in different lighting conditions and expressions?

Yes, the technique is robust to different lighting conditions and expressions, ensuring consistent and realistic results across various scenarios.

Q: Does the technique support transferring gestures to different characters?

Yes, the technique supports retargeting, allowing gestures to be transferred to different characters, providing flexibility and versatility in animation applications.

Q: Where can I find the variant of the technology mentioned in the video?

The variant of the technology can be downloaded through the link provided in the video description.

Summary & Key Takeaways

• The technique creates digital avatars that capture the appearance and gestures of the user from a single photo.

• The avatars include secondary features like eyes, teeth, tongue, and gum.

• Hair reconstruction is done using a deep neural network and a dataset of existing hairstyles, resulting in realistic hair geometry.