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. The tool enables users to remove undesirable objects from an image by letting Deep Fill do the work.

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.

Search for Great Moments in Videos with Natural Language

We all have long, mostly dull home videos in our memory cards that contain just a few great moments. What if we could train computers to find specific scenes?

Stitch Together a Perfect Scene with Experimental Tool

Scene Stitch gives creatives the chance to re-imagine an image and to easily explore a range of possibilities to change it.

Add Depth to VR Video with Sidewinder

Is there a low-cost, easy-capture way to improve the realism of VR video? Adobe Research has found a promising path with Sidewinder.

Cloak: Remove Unwanted Objects in Video

By Meredith Alexander Kunz, Adobe Research Project Cloak, an experimental tool by Adobe Research, offers an innovative way to remove unwanted objects from a video. Object removal is a huge pain point for visual effects artists, who currently spend countless hours manually erasing boom-microphones, special effect wires, distracting objects, and...

Researcher Spotlight: Eunyee Koh

Eunyee Koh, senior research scientist at Adobe Research, focuses on machine learning algorithms and computer-human interaction. She’s been with the group since 2008 and leads her own team.

Adobe Research Publishes 66 Papers at Top Visual Computing Conferences in 2017

This year, Adobe Research continued in its core mission of developing innovative new technologies, publishing 66 research papers at top computer vision and computer graphics conferences.

From Blurry to Crisp: Video Super Resolution Enhances It All

What was once science fiction is now one step closer to reality with the work of Adobe Research’s Zhaowen Wang and collaborators.