Adobe Research creates new technologies in computer vision and imaging, including breakthroughs in image search, organization, editing, and generation. Our scientists and engineers tackle problems such as object, text, and face detection, segmentation, person recognition, image quality, captioning, denoising, and deblurring. Many of our approaches tap into deep learning to empower creative image editing.
We also focus on video enhancement, analysis, synthesis, and understanding. We are interested in research problems such as video object segmentation, stabilization, generation, recognition, joint audio and video understanding, compression, and delivery. We seek to empower our users to create compelling video content and help our customers to maximize the value of their videos through next-generation experiences, analytics, and data-driven enhancement to video creation and monetization.
Meet some of our researchersView More
Varun Manjunatha
Research Scientist
Kushal Kafle
Research Scientist
Thibault Groueix
Research Engineer
View our latest publicationsView More
RGB<->X: Image Decomposition and Synthesis Using Material- and Lighting-aware Diffusion Models
Zeng, Z., Deschaintre, V., Georgiev, I., Hold-Geoffroy, Y., Hu, Y., Luan, F., Yan, L., Hasan, M. (Jul. 25, 2024)
Siggraph 2024
Scaling Up Video Summarization Pretraining with Large Language Models
Argaw, D., Yoon, D., Heilbron, F., Deilamsalehy, H., Bui, T., Wang, Z., Dernoncourt, F., Chung, J. (Jun. 21, 2024)
CVPR 2024
Synergistic Global-space Camera and Human Reconstruction from Videos
Zhao, Y., Wang, T., Raj, B., Xu, M., Yang, J., Huang, C. (Jun. 17, 2024)
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Create 3D Photos with a Still Image
Project Moving Stills, led by researcher Long Mai, enables any photograph to be turned into a “live photo,” animating the image in 3D and simulating a realistic effect of flying through the photo. This experimental effort uses deep learning to generate videos from a single still image.
