Apple AI unveils SHARP model that generates 3D scenes from single photos in under a second

Reviewed byNidhi Govil

2 Sources

Share

Apple has published research on SHARP, an AI model that generates 3D scenes from photos in under a second using neural networks. Trained on 8 million synthetic images and 2.65 million licensed photographs, SHARP converts 2D photographs into 3D spatial scenes while maintaining scale and distance consistency. The model is now available on GitHub.

Apple AI Introduces SHARP for Rapid 3D Scene Generation

Apple has unveiled SHARP, a new AI model that creates a 3D scene from a single image in less than a second, marking a significant advancement in the company's spatial computing capabilities

1

. The technology, detailed in a research paper titled "Sharp Monocular View Synthesis in Less Than a Second," demonstrates how Apple AI can convert 2D photographs into 3D spatial scenes with photorealistic quality

2

. The model represents a natural evolution of Apple's spatial photo features, building on the stereoscopic effects introduced in iOS 26's Lock Screen photos.

Neural Networks Power Sub-Second Processing

SHARP leverages neural networks to generate a 3D map of input images in under one second on a standard GPU via a single feedforward pass

2

. Apple trained the model on approximately 8 million synthetic images created in-house and 2.65 million licensed photographs, enabling it to discern depth perception and scale accurately

1

. Once the initial 3D map is complete, the image can be rendered in real time, opening possibilities for VR memories and immersive experiences.

Source: TechRadar

Source: TechRadar

The model predicts what a 3D scene would look like by taking into account the image's nearby viewpoints, maintaining consistency in scale and distance to avoid the stretching and warping common in 2D-to-3D conversions

1

.

3D Gaussian Representation Enables Photorealistic Quality

The technology employs a 3D Gaussian representation that generates photorealistic images for nearby views

2

. Unlike traditional 3D Gaussian Splatting techniques that require numerous 2D images from various angles, SHARP accomplishes monocular view synthesis from just one photograph by predicting depth and colors

2

. The representation is metric, with absolute scale, supporting metric camera movements that maintain immersion

2

. This approach addresses a key challenge in neural rendering: producing 3D images that users actually want to keep and explore.

Potential Integration With Vision Pro Headset and Apple Devices

While SHARP currently exists as a proof-of-concept available on GitHub, it signals Apple's direction in spatial computing

1

. The model isn't yet integrated into iOS 26 or macOS Tahoe, but it appears positioned as a natural extension of existing spatial photo features

1

. If implemented in the Photos app on iPhone, SHARP could become an attractive selling point for consumers interested in exploring their images in three dimensions. Integration with the Vision Pro headset would deliver even more immersive experiences, potentially transforming how users interact with their photo libraries

1

.

Current Limitations and Future Development

SHARP does face constraints in its current form, primarily its focus on rendering nearby scenes

1

. Users cannot stray too far from the original viewpoint before fidelity begins to degrade, limiting the extent of exploration within generated scenes. However, as a starting point, the technology demonstrates promising capabilities, especially given its rapid processing speed. The Cupertino giant continues to expand its AI capabilities at a rapid pace, and SHARP represents another step in that trajectory

2

. Observers should watch for potential announcements regarding SHARP's integration into Apple's operating systems, as the technology matures from research to consumer-ready features.

Today's Top Stories

TheOutpost.ai

Your Daily Dose of Curated AI News

Don’t drown in AI news. We cut through the noise - filtering, ranking and summarizing the most important AI news, breakthroughs and research daily. Spend less time searching for the latest in AI and get straight to action.

© 2025 Triveous Technologies Private Limited
Instagram logo
LinkedIn logo