Change Video Into Slow Motion with AI! TimeLens Explained
Last Updated on July 20, 2023 by Editorial Team
Author(s): Louis Bouchard
Originally published on Towards AI.
Time Lens can understand the movement of the particles in-between the frames of a video to reconstruct what really happened at a speed even our eyes cannot see.

Originally published on louisbouchard.ai, read it 2 days before on my blog!
I’m sure you’ve all clicked on a video thumbnail from the slow-mo guys to see the water floating in the air when popping a water balloon or any other super cool-looking “slow-mos” made with extremely expensive cameras. Now, we are lucky enough to be able to do something not really comparable but still quite cool with our phones. What if you could reach the same quality without such an expensive setup?
Well, that’s exactly what Time Lens, a new model published by Tulyakov et al. can do with extreme precision…. 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.