Apple Open-Sources SHARP: Single 2D Photo to Photorealistic 3D Gaussian Scene in Under 1 Second — Free and Ready to Revolutionize Content Creation
Apple Machine Learning Research dropped SHARP on December 17, 2025 — a fully open-source model that transforms any single 2D photo into a metric-scale 3D Gaussian splat representation in less than a second on a standard GPU. Delivering sharper details, higher structural fidelity (up to 40% better on key metrics like LPIPS/DISTS), and real-time novel view rendering, SHARP obliterates multi-image bottlenecks and goes fully free on GitHub. Early tests show explosive potential for instant 3D asset pipelines in games, AR/VR experiences, and digital twins.
Apple Open-Sources SHARP: The Lightning-Fast AI That Revives 2D Photos as Photorealistic 3D Scenes in Under a Second
Apple Machine Learning Research unveiled SHARP on December 17, 2025 — an open-source breakthrough that reconstructs metric-accurate 3D Gaussian scenes from a single 2D photo in less than one second on a standard GPU. Powered by feedforward neural prediction of millions of Gaussians, it delivers SOTA quality on benchmarks like LPIPS (25-34% improvement) and DISTS (21-43%), while slashing synthesis time by orders of magnitude. Fully open on GitHub and Hugging Face, SHARP unlocks instant 3D for AR, spatial computing, and legacy photo revival — no multi-shot captures required.
