Closing the loop: agentic evaluation for image editing foundation models
Lambda and academic partners present EdiVal-Agent, a framework that uses AI agents to automate evaluation of image‑editing foundation models. The system breaks edits into object‑level tasks and tracks changes across multi‑turn edits, enabling faster, more detailed model assessment. The approach is detailed in an ICLR 2026 paper, but no public implementation is linked yet.
