About Adobe Research
Tap into AI to Improve Video Ads
Can AI help marketers improve video ads, increasing their effectiveness with specific audiences? Adobe Research scientists asked this big question—and have designed a novel technology to answer it.
Adobe Research Papers Featured in Upcoming Conferences
Adobe has achieved a remarkable acceptance rate for research papers at several highly-selective conferences this spring.
Sonic Scape: Visualizing Sound for 360 Video
Sonic Scape helps 360 video editors “see” ambisonic sounds in a video using color particles, enabling a unique style of visual editing of the sound’s origin in space and time.
Puppetron: Your Face as a Stylized Work of Art
If you’ve ever wondered what you might look like as a painting by a famous artist, Puppetron has the answer.
Researcher Spotlight: Jingwan (Cynthia) Lu
Jingwan (Cynthia) Lu, research scientist, is on a quest to develop sophisticated machine-learning-powered tools for creatives.
A Papier-Mâché Approach to Learning 3D Surface Generation
Computers have made significant progress in understanding what is depicted in images.
The Dataset that Made the Cover
Qingnan Zhou, a research engineer at Adobe Research, and a collaborator created a huge poster-style, full-color image showing the objects from their 3D dataset.
An AI that Sees the Future
Predicting movement or objects in the next frames of a video feed could potentially save lives or simply increase accuracy across many tasks.
Leveraging Deep Learning to Fix Images
Deep Fill makes editing a photo easier using a form of deep learning known as Generative Adversarial Networks (GANs) to train an innovative system.
Learn & Support
Copyright © 2018 Adobe Systems Incorporated. All rights reserved.