About Adobe Research
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.
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.
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
Project Cloak, an experimental tool by Adobe Research, offers an innovative way to remove unwanted objects from a video.
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