Name: Towards AI Legal Name: Towards AI, Inc. Description: Towards AI is the world's leading artificial intelligence (AI) and technology publication. Read by thought-leaders and decision-makers around the world. Phone Number: +1-650-246-9381 Email: pub@towardsai.net
228 Park Avenue South New York, NY 10003 United States
Website: Publisher: https://towardsai.net/#publisher Diversity Policy: https://towardsai.net/about Ethics Policy: https://towardsai.net/about Masthead: https://towardsai.net/about
Name: Towards AI Legal Name: Towards AI, Inc. Description: Towards AI is the world's leading artificial intelligence (AI) and technology publication. Founders: Roberto Iriondo, , Job Title: Co-founder and Advisor Works for: Towards AI, Inc. Follow Roberto: X, LinkedIn, GitHub, Google Scholar, Towards AI Profile, Medium, ML@CMU, FreeCodeCamp, Crunchbase, Bloomberg, Roberto Iriondo, Generative AI Lab, Generative AI Lab VeloxTrend Ultrarix Capital Partners Denis Piffaretti, Job Title: Co-founder Works for: Towards AI, Inc. Louie Peters, Job Title: Co-founder Works for: Towards AI, Inc. Louis-François Bouchard, Job Title: Co-founder Works for: Towards AI, Inc. Cover:
Towards AI Cover
Logo:
Towards AI Logo
Areas Served: Worldwide Alternate Name: Towards AI, Inc. Alternate Name: Towards AI Co. Alternate Name: towards ai Alternate Name: towardsai Alternate Name: towards.ai Alternate Name: tai Alternate Name: toward ai Alternate Name: toward.ai Alternate Name: Towards AI, Inc. Alternate Name: towardsai.net Alternate Name: pub.towardsai.net
5 stars – based on 497 reviews

Frequently Used, Contextual References

TODO: Remember to copy unique IDs whenever it needs used. i.e., URL: 304b2e42315e

Resources

Free: 6-day Agentic AI Engineering Email Guide.
Learnings from Towards AI's hands-on work with real clients.
Apple Built 3D View Synthesis That Runs in Under a Second
Artificial Intelligence   Latest   Machine Learning

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

Last Updated on December 29, 2025 by Editorial Team

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.

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

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


Towards AI Academy

We Build Enterprise-Grade AI. We'll Teach You to Master It Too.

15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.

Start free — no commitment:

6-Day Agentic AI Engineering Email Guide — one practical lesson per day

Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages

Our courses:

AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.

Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.

AI for Work — Understand, evaluate, and apply AI for complex work tasks.

Note: Article content contains the views of the contributing authors and not Towards AI.