Apple Built 3D View Synthesis That Runs in Under a Second

Author(s): Gowtham Boyina Originally published on Towards AI. The View Synthesis Problem Take a single photo and generate realistic views from different camera angles — this is monocular view synthesis. It’s useful for VR/AR, 3D modeling, and spatial computing, but most approaches are either slow (multi-minute optimization) or produce low-quality results. SHARP from Apple revolutionizes the view synthesis process with a rapid generation of 3D representations from a single image, achieving high photorealistic quality in under a second. This method positions itself as superior to existing techniques by eliminating slow per-scene optimizations, thus enabling practical implementations in AR and VR. Its efficiency and groundbreaking capabilities make it a key innovation for real-time applications, paving the way for enhanced user experiences across various fields such as gaming, e-commerce, and 3D modeling. Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. Published via Towards AI