Sara Dorfman

Multi-turn image editing models can now maintain high fidelity and instruction adherence over dozens of edits by training them to robustly edit their own prior outputs.

Localization signals in VLMs remain hidden in intermediate representations, leading to significant failures in current image editing pipelines.

Semantic Browsing transforms image generation by allowing users to explore diverse visual interpretations through structured, meaningful variations rather than random noise.