ΑΙhub.org
 

Using neural networks to “upscale” old films


by
06 February 2020



share this:

The famous short, silent film L’arrivée d’un train en gare de La Ciotat, produced by Auguste and Louis Lumière in 1896, hit the news this week. AI developer Denis Shiryaev used a combination of Gigapixel AI and depth-aware video frame interpolation (DAIN) to “upscale” the film to 4k, 60 frames-per-second quality.

You can watch the upscaled video here:
https://www.youtube.com/watch?v=3RYNThid23g

Here is the original version for comparison:

There were two parts to creating this upscaled video. Firstly, the enhancement to 4k resolution. The algorithm used for this is based on neural networks and was trained with millions of photos. The training process helped to create a sophisticated network that learned the best way to enlarge, enhance, and create natural details.

In addition to the enhanced resolution, Shiryaev utilised DAIN to add frames per second. This video frame interpolation method was developed by Wenbo Bao and colleagues (Shanghai Jiao Tong University, University of California, Merced, and Google) and aims to synthesize new frames in between the original frames. In their arXiv article from April 2019 they propose a novel depth-aware video frame interpolation algorithm which explicitly detects occlusion (when one object in a 3D space is blocking another object from view) using depth information. They developed a depth-aware flow projection layer to synthesize intermediate flows that preferentially sample closer objects rather than those further away. Their algorithm also learns hierarchical features to gather contextual information from neighbouring pixels. The model then warps the input frames, depth maps, and contextual features within an adaptive warping layer. Finally, a frame synthesis network generates the output frame using residual learning.

Shiryaev has also added a colour version which was made using DeOldify. DeOldify was created by Jason Antic and employs Generative Adversarial Networks (GANs) to colorize black and white images.
https://youtu.be/EqbOhqXHL7E




Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

RWDS Big Questions: how do we balance innovation and regulation in the world of AI?

  06 Mar 2026
The panel explores the tensions, trade-offs and practical realities facing policymakers and data scientists alike.

Studying multiplicity: an interview with Prakhar Ganesh

  05 Mar 2026
What is multiplicity, and what implications does it have for fairness, privacy and interpretability in real-world systems?

Top AI ethics and policy issues of 2025 and what to expect in 2026

, and   04 Mar 2026
In the latest issue of AI Matters, a publication of ACM SIGAI, Larry Medsker summarised the year in AI ethics and policy, and looked ahead to 2026.

The greatest risk of AI in higher education isn’t cheating – it’s the erosion of learning itself

  03 Mar 2026
Will AI hollow out the pipeline of students, researchers and faculty that is the basis of today’s universities?

Forthcoming machine learning and AI seminars: March 2026 edition

  02 Mar 2026
A list of free-to-attend AI-related seminars that are scheduled to take place between 2 March and 30 April 2026.
monthly digest

AIhub monthly digest: February 2026 – collective decision making, multi-modal learning, and governing the rise of interactive AI

  27 Feb 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

The Good Robot podcast: the role of designers in AI ethics with Tomasz Hollanek

  26 Feb 2026
In this episode, Tomasz argues that design is central to AI ethics and explores the role designers should play in shaping ethical AI systems.

Reinforcement learning applied to autonomous vehicles: an interview with Oliver Chang

  25 Feb 2026
In the third of our interviews with the 2026 AAAI Doctoral Consortium cohort, we hear from Oliver Chang.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence