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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.
Stitch Together a Perfect Scene with Experimental Tool
We’ve all taken photos with some big, unsightly element we’d like to remove.
Researcher Spotlight: Eunyee Koh, Senior Research Scientist
Eunyee Koh, senior research scientist at Adobe Research, focuses on machine learning algorithms and computer-human interaction.
With Scribbler, Color Your World
Adobe Research scientists, in collaboration with researchers from Georgia Tech and UC Berkeley, have taken on the problem of how to generate realistic imagery using deep convolutional networks.
Adobe Research Scientists Win Prize for Advancing Computer Vision
By Meredith Alexander Kunz, Adobe Research Three Adobe Research scientists have been awarded the Helmholtz Prize by the Institute of Electrical and Electronics Engineers (IEEE) for research contributions that have had a significant impact on the field of computer vision.