Adobe Research is developing intelligent agents and assistants to help Adobe’s customers with a wide range of tasks. Enterprise-focused agents offer a promising way to empower marketers to offer engaging customer experiences, educate people about products, and communicate timely offers. Natural language-enabled creative assistants could enable new users to become familiar with digital tools, teach valuable skills, and handle routine work. Agents and assistants may be voice or gesture driven, with awareness of content and context.
Meet some of our researchersView More
Jack Wang
Research Scientist
Sungchul Kim
Senior Research Scientist
Darshan Prasad
Research Engineer
View our latest publicationsView More
Orthrus: Memory-Efficient Parallel Token Generation via Dual-View Diffusion
Van Nguyen, C., Hegde, C., Pham, V., Rossi, R., Dernoncourt, F., Nguyen, T. (Dec. 12, 2026)
Spotlight paperNeurIPS 2026
ViT-AdaLA: Adapting Vision Transformers with Linear Attention
Li, Y., Yoon, S., Lai, V., Dernoncourt, F., Kuen, J., Kong, Y., Bui, T. (Dec. 12, 2026)
NeurIPS 2026
StreamGaze: Gaze-Guided Temporal Reasoning and Proactive Understanding in Streaming Videos
Lee, D., Mukherjee, S., Kveton, B., Rossi, R., Lai, V., Yoon, D., Bui, T., Dernoncourt, F., Bansal, M. (Dec. 12, 2026)
NeurIPS 2026 Systems Evaluations and Datasets Track
Project Get Savvy
For marketing teams, going from an idea to a full campaign can be time-consuming, difficult, and expensive. So Adobe Researchers collaborated with the Adobe Experience Manager (AEM) team to create Project Get Savvy. This experimental prototype lets marketers choose a team of AI agents who help them quickly move from ideation to a full marketing plan.
