About Adobe Research
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.
Whose Likes Matter Most? Ask this Learning Algorithm
Now, new work from Adobe Research offers a promising means to empower computers to find online influencers on their own—using sophisticated methods in machine learning.
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