Selfie-Sprucing Software

This MIT Selfie Technology Converts Ordinary Selfies into Pro Portraits

Selfie-obsessed people growing weary of the usual Instagram photo filters can now look forward to something far more advanced, what with the development of the MIT selfie algorithm. Researchers at MIT developed an algorithm that takes selfie manipulation to the next level, allowing distinctive studio-style photography looks to be layered on top of your self-portrait.

Existing approaches to filtering selfies and other photos use techniques collectively known as 'global style-transfer.' This involves adjusting things like color temperature and contrast to make photos look different. However, the MIT researchers noticed that these techniques aren't as affective when applied to selfies and close-up shots of faces.

The researchers set about developing a new method dubbed 'local transfer'. They used facial recognition software to find common features between subjects' faces and the face in an example photograph that they wanted to replicate.

Despite complications, this MIT selfie technology looks a lot better than existing image filters, making the selfies look like professionally lit shots.

Selfie-enhancement
Developing advanced selfie enhancement techniques to provide studio-style photography looks and make selfies look like professionally lit shots.
Facial Recognition for Photography
Integrating facial recognition in photography to find common features between subjects' faces and an example photograph for improved photo filtering.
Local Style Transfer
Exploring local style transfer techniques to adjust color temperature and contrast more effectively when applied to selfies and close-up shots of faces.

Industries Being Reshaped

Mobile Devices
Using advanced selfie enhancement techniques on mobile devices to improve selfie-taking abilities.
Photography
Integrating facial recognition and local transfer in photography services to offer improved photo filtering.
Social Media
Incorporating advanced selfie enhancement techniques in social media platforms to provide users with more creative options for sharing selfies.
SCORE
3.5 out of 10
GENDER
50% Men50% Women
MARKETTop markets: North America
GENERATION
  • Gen Alpha
  • Gen Z (primary audience)
  • Millennial (primary audience)
  • Gen X (primary audience)
POPULARITY
Popularity 39%
Activity 58%
Freshness 8%