Fal releases BiRefNet for high-resolution image background removal

Fal releases BiRefNet, a bilateral reference framework for high-resolution background removal. Users access it via Fal's HTTP API or web playground.

Fal.ai launched BiRefNet v2, a bilateral reference framework for high-resolution dichotomous image segmentation. This enables precise background removal through direct inference on their HTTP API or web playground. It targets utility tasks like segmentation at scale.