ECCV 2026: Adobe researchers share experimental AI tools for more precise image and video generation

Wondering what’s next for precise, controllable generative AI? Check out the breakthroughs our Adobe researchers are sharing this week at ECCV.

This World Photography Day, Adobe Research Maps How Trust Travels with a Photo

On World Photography Day, Adobe Researchers are contributing technologies that give people the information they need to understand where an image comes from, how it’s been changed, and whether its history can be independently verified.

100 Patents: Brian Price on innovating at Adobe Research 

Every day, Adobe researchers push the boundaries of technology—a process that’s second nature to Principal Scientist Brian Price. Price has now contributed to his 100th patent at Adobe. We talked with him about his work.

Do it for me, or show me how: The research behind Photoshop’s AI Assistant

Adobe Research has helped build an AI Assistant for Photoshop that lets you edit images by simply describing what you want.

Adobe Firefly’s alt text: Helping blind and low-vision creators design and choose images

A new feature in Adobe Firefly built in collaboration with Adobe Research is making text-to-image generation more accessible for blind and low-vision (BLV) creators.

Teaching an AI Agent to Retouch Photos: RetouchIQ at CVPR 2026

RetouchIQ is an experimental AI editing agent that understands what you mean when you describe how a photo should look and feel, then translates that intent into precise adjustments in professional photo-editing software. 

CVPR 2026: Adobe researchers present 75+ papers on the frontier of AI

Adobe Researchers are helping shape the future of AI at the world’s premiere computer vision event, CVPR 2026, the IEEE/CVR Computer Vision and Pattern Recognition Conference. Adobe Researchers are presenting over 75 research papers, including several Oral Papers and award finalists.

Giving Image Editors Adjustable Control Over Editing Instructions: SliderEdit at CVPR 2026 

SliderEdit introduces continuous, adjustable control over individual editing instructions in instruction-based image editing models, turning each instruction into a smooth slider. 

Object-WIPER: A Smarter Way to Erase Objects from Video 

Rather than treating object removal as a simple mask-and-fill task, Object-WIPER recognizes that objects leave visual traces in a scene — shadows on the ground, reflections in glass, translucent overlaps with the background — and that a complete removal means erasing those traces too.