Meta just introduced GenIA, a framework that turns standard photos or video clips into complete 3D objects. Built atop SAM 3D, it continuously checks generated shapes against source images to lock down accurate appearance, position, and scale. Why it matters: It bridges generative 3D models with real-world fidelity without retraining the base model, and the code is open for non-commercial local use.
Meta just dropped SAM 3D, a new model family that reconstructs detailed 3D objects, scenes, and human bodies straight from flat 2D images. Split into Objects and Body models, Meta is open-sourcing the checkpoints and inference code while launching a web Playground. It bridges a notorious data gap in 3D modeling and is already powering virtual staging on Facebook Marketplace.
Meta just expanded its computer vision lineup with SAM 3 and SAM 3D. SAM 3 lets you track and segment objects in images and video using natural text prompts, while SAM 3D reconstructs 2D photos into workable 3D objects and human avatars. Both models are available to test in a new interactive playground, with SAM 3 code and weights fully open-sourced.
