This week at GTC 2018 in San Jose, California, engineers from Adobe Applied Research and Tech (ART) and NVIDIA demonstrated a deep learning-based method that extracts the foreground content from its background without the use of a green screen.
During their demo, the team used a version of Photoshop with the “Deep Matte” algorithm.
The method called “Deep Image Matting”, uses deep learning to intelligently separate foreground from the background.
An example of the Deep Matte feature in Adobe Photoshop.
We first told you about this research last year. Since then, the team has moved to NVIDIA TITAN Volta GPUs and cuDNN based customized inferencing framework for optimal performance.
Though not publicly available, the team said “Deep Matte” could be released in a future version of Photoshop.
Related resources
- GTC session: How Generative AI is Transforming the Creative Process: Fireside Chat with Scott Belsky (Adobe) and Bryan Catanzaro (NVIDIA) (Spring 2023)
- GTC session: Unlocking AI to Build the Metaverse (Spring 2023)
- GTC session: Detecting Skin Diseases using AI (Spring 2023)
- Webinar: Inception Workshop 101 - Getting Started with Vision AI
- Webinar: Optimizing AI Image and Video Generation Tools with NVIDIA and Runway
- Webinar: Metropolis Meetup: Expanding Vision AI to SaaS and the Cloud
About the Authors
