Bringing Old Photos Back to Life

Resource | v1 | created by jjones |
Type Paper
Created 2020-01-01
Identifier arXiv:2004.09484


We propose to restore old photos that suffer from severe degradation through a deep learning approach. Unlike conventional restoration tasks that can be solved through supervised learning, the degradation in real photos is complex and the domain gap between synthetic images and real old photos makes the network fail to generalize. Therefore, we propose a novel triplet domain translation network by leveraging real photos along with massive synthetic image pairs. Specifically, we train two variational autoencoders (VAEs) to respectively transform old photos and clean photos into two latent spaces. And the translation between these two latent spaces is learned with synthetic paired data. This translation generalizes well to real photos because the domain gap is closed in the compact latent space.


about Computer vision

Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-...

relates to Enhancing your photos through artificial intelligence

Microsoft researchers introduce two new techniques that use AI to improve photos, both new and old. L...

relates to Bringing Old Photos Back to Life

Bringing Old Photos Back to Life

Edit details Edit relations Attach new author Attach new topic Attach new resource
0.0 /10
useless alright awesome
from 0 reviews
Write comment Rate resource Tip: Rating is anonymous unless you also write a comment.
Resource level 0.0 /10
beginner intermediate advanced
Resource clarity 0.0 /10
hardly clear sometimes unclear perfectly clear
Reviewer's background 0.0 /10
none basics intermediate advanced expert
Comments 0
Currently, there aren't any comments.