Idol turns single 2D images into 3D Gaussians on consumer GPUs
Sperid Labs just open-sourced Idol, a new model that turns a single 2D image into a standard 3D Gaussian splat with up to a million points. It handles background removal, accurately guesses the hidden backside, and caps out at just 7.2 GB of VRAM. Why it matters: High-fidelity 3D reconstruction is finally fast and lean enough for local desktop rigs.