Cambridge, MA

The Cambridge, Massachusetts, lab is home to researchers who work closely with collaborators from Harvard University and the Massachusetts Institute of Technology (MIT). Cambridge is historically an important hub for academic research in a range of fields.

About us Adobe Research

AI & Machine Learning

About us Adobe Research

Computer Vision, Imaging & Video

About us Adobe Research

Graphics (2D & 3D)

About us Adobe Research

Human Computer Interaction

About us Adobe Research

Systems & Languages

Meet some of our researchersView All

Cusuh Ham

Research Scientist

Shoaib Kamil

Principal Research Scientist

Soo Ye Kim

Senior Research Scientist

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ID-Sim: An Identity-Focused Similarity Metric

Chae, Julia., Kolkin, Nicholas., Wang, Jui-Hsien., Zhang, Richard., Beery, Sara., Ham, Cusuh. (Jun. 3, 2026)

Conference on Computer Vision and Pattern Recognition (CVPR 2026)

CatalogStitch: Dimension-Aware and Occlusion-Preserving Object Compositing for Catalog Image Generation

Jain, Sanyam., Kandari, Pragya., Singhal, Manit., Zhang, He., Kim, Soo. (Jun. 4, 2026)

Conference on Computer Vision and Pattern Recognition Workshop (CVPRW 2026)

EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning

Ju, Xuan., Wang, Tianyu., Zhou, Yuqian., Zhang, He., Liu, Qing., Zhao, Nanxuan., Zhang, Zhifei., Li, Yijun., Cai, Yuanhao., Liu, Shaoteng., Pakhomov, Daniil., Lin, Zhe., Kim, Soo., Xu, Qiang. (Apr. 25, 2026)

Oral

International Conference on Learning Representations (ICLR 2026)

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Adobe Researchers present a powerful, unified approach to generative video editing at CVPR 2025

Adobe researchers shared a groundbreaking paper at CVPR 2025, introducing an experimental generative video propagation framework that applies edits in the first frame of a video to all the following frames in a reliable and consistent manner, all while preserving areas the user hasn’t edited.

Adobe Research at CHI: An experimental new design approach for human-AI co-creation

To go beyond simple AI prompts and outputs, Adobe Researchers, in a paper presented at CHI 2025, outlined a new approach for designing environments where humans and AI can collaborate and iterate together across an entire creative process. Learn more about the thinking behind this innovative research!

Inside Halide, the open source language engineers use to make imaging tools faster

Halide is an open-source embedded programming language co-developed by Adobe Research and MIT to make imaging tools faster and more portable across devices. We spoke with five key contributors to learn how it continues to evolve and enable tools used by billions, from digital cameras to many of Adobe’s products!
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We are looking for researchers and interns to take our technologies to the next level. Learn about working at Adobe Research.

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