Computer Vision, Imaging & Video

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

Robin Faury

Research Engineer

Jing Shi

Research Scientist

John Collomosse

Senior Principal Scientist

View our latest publicationsView More

PRISM: A Unified Framework for Photorealistic Reconstruction and Intrinsic Scene Modeling

Dirik, A., Wang, T., Ceylan, D., Zafeiriou, S., Frühstück, A. (Aug. 17, 2026)

International Conference on Pattern Recognition (ICPR) 2026

FIFA: Unified Faithfulness Evaluation Framework for Text-to-Video and Video-to-Text Generation

Jing, L., Lai, V., Yoon, D., Bui, T., Du, X. (Jul. 7, 2026)

ACL 2026 Findings

DocPrune:Efficient Document Question Answering via Background, Question, and Comprehension-aware Token Pruning

Choi, J., Lee, S., Kim, J., Kim, S., Ko, D., Kil, J., Kim, H. (Jun. 3, 2026)

Conference on Computer Vision and Pattern Recognition (CVPR 2026)

Project Perfect Blend

Project Perfect Blend is a generative harmonization tool that makes compositing easier. When adding people or objects into another image, it will adjust color, lighting, shadows, and reflections to blend the foreground and background layers naturally. This project focuses on natural blending, foreground relighting, and realistic shadow casting to make the process smoother and more lifelike.

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Join us!

We are looking for researchers, engineers, and interns to take our technologies to the next level. We're recruiting, and we would love to hear from you!