HackerReposA FIELD GUIDE TO OPEN SOURCE
ProSponsor the shelf♧ 0
← Back to top all-time
david-gpu
srez
Python2016–2017
david-gpu / srez · Archived

srez

Image super-resolution through deep learning

AI & Machine LearningCreative & MediaSystems & InfrastructureLearning & Reference
Explore on GitHubRead Hacker News discussions
3Distinct people
4Mentions
0Explicit recommenders
5.3KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Image super-resolution through deep learning

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 12:45:45 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week4 dated mentions

Observed mentions: 2016-08-27 00:35:07 UTC to 2017-01-16 23:01:50 UTC. Weeks start Monday, UTC.

012016-08-22 00:00:00 UTC to 2016-08-29 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsAug 222016-08-29 00:00:00 UTC to 2016-09-05 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2016-09-05 00:00:00 UTC to 2016-09-12 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-09-12 00:00:00 UTC to 2016-09-19 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-09-19 00:00:00 UTC to 2016-09-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-09-26 00:00:00 UTC to 2016-10-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-10-03 00:00:00 UTC to 2016-10-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-10-10 00:00:00 UTC to 2016-10-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-10-17 00:00:00 UTC to 2016-10-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-10-24 00:00:00 UTC to 2016-10-31 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2016-10-31 00:00:00 UTC to 2016-11-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsOct 312016-11-07 00:00:00 UTC to 2016-11-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-11-14 00:00:00 UTC to 2016-11-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-11-21 00:00:00 UTC to 2016-11-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-11-28 00:00:00 UTC to 2016-12-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-12-05 00:00:00 UTC to 2016-12-12 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-12-12 00:00:00 UTC to 2016-12-19 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-12-19 00:00:00 UTC to 2016-12-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-12-26 00:00:00 UTC to 2017-01-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-01-02 00:00:00 UTC to 2017-01-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-01-09 00:00:00 UTC to 2017-01-16 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-01-16 00:00:00 UTC to 2017-01-23 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJan 16

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Aug 222016-08-22 00:00:00 UTC2016-08-29 00:00:00 UTC110
Aug 292016-08-29 00:00:00 UTC2016-09-05 00:00:00 UTC110
Sep 52016-09-05 00:00:00 UTC2016-09-12 00:00:00 UTC000
Sep 122016-09-12 00:00:00 UTC2016-09-19 00:00:00 UTC000
Sep 192016-09-19 00:00:00 UTC2016-09-26 00:00:00 UTC000
Sep 262016-09-26 00:00:00 UTC2016-10-03 00:00:00 UTC000
Oct 32016-10-03 00:00:00 UTC2016-10-10 00:00:00 UTC000
Oct 102016-10-10 00:00:00 UTC2016-10-17 00:00:00 UTC000
Oct 172016-10-17 00:00:00 UTC2016-10-24 00:00:00 UTC000
Oct 242016-10-24 00:00:00 UTC2016-10-31 00:00:00 UTC101
Oct 312016-10-31 00:00:00 UTC2016-11-07 00:00:00 UTC000
Nov 72016-11-07 00:00:00 UTC2016-11-14 00:00:00 UTC000
Nov 142016-11-14 00:00:00 UTC2016-11-21 00:00:00 UTC000
Nov 212016-11-21 00:00:00 UTC2016-11-28 00:00:00 UTC000
Nov 282016-11-28 00:00:00 UTC2016-12-05 00:00:00 UTC000
Dec 52016-12-05 00:00:00 UTC2016-12-12 00:00:00 UTC000
Dec 122016-12-12 00:00:00 UTC2016-12-19 00:00:00 UTC000
Dec 192016-12-19 00:00:00 UTC2016-12-26 00:00:00 UTC000
Dec 262016-12-26 00:00:00 UTC2017-01-02 00:00:00 UTC000
Jan 22017-01-02 00:00:00 UTC2017-01-09 00:00:00 UTC000
Jan 92017-01-09 00:00:00 UTC2017-01-16 00:00:00 UTC000
Jan 162017-01-16 00:00:00 UTC2017-01-23 00:00:00 UTC101

What Hacker News says

4 sources
ingenter·Jan 16, 2017
Here's a list of various image interpolation techniques: - http://www.ifp.illinois.edu/~jyang29/papers/chap1.pdf * Image super-resolution: Historical overview and future challenges - http://www.robots.ox.ac.uk/~vgg/publications/papers/pickup08... * Machine Learning in Multi-frame Image Super-resolution - http://www.cs.huji.ac.il/~peleg/papers/icpr90-SuperResolutio... - http://www.wisdom.weizmann.ac.il/~vision/SingleImageSR.html - http://chiranjivi.tripod.com/EDITut.html - http://www.tecnick.com/pagefiles/appunti/iNEDI_tesi_Nicola_A... - http://www.eurasip.org/Proceedings/Eusipco/Eusipco2009/conte... - http://bengal.missouri.edu/~kes25c/ * http://bengal.missouri.edu/~kes25c/nnedi3.zip * http://forum.doom9.org/showthread.php?t=147695 - http://arxiv.org/pdf/1501.00092v2.pdf * http://waifu2x.udp.jp/ * https://github.com/nagadomi/waifu2x * h
Read the rest
ttp://waifu2x-avisynth.sunnyone.org/ * https://github.com/sunnyone/Waifu2xAvisynth - http://i-programmer.info/news/192-photography-a-imaging/1010... * https://github.com/david-gpu/srez - http://arxiv.org/pdf/1609.04802v1.pdf - https://github.com/alexjc/neural-enhance
In With Google's RAISR, images can be up to 75% smaller without losing detail
ingenter·Oct 29, 2016
Here's a list of various image interpolation techniques, with similar goal: - http://www.wisdom.weizmann.ac.il/~vision/SingleImageSR.html - http://chiranjivi.tripod.com/EDITut.html - http://www.tecnick.com/pagefiles/appunti/iNEDI_tesi_Nicola_A... - http://www.eurasip.org/Proceedings/Eusipco/Eusipco2009/conte... - http://bengal.missouri.edu/~kes25c/ http://bengal.missouri.edu/~kes25c/nnedi3.zip http://forum.doom9.org/showthread.php?t=147695 - http://arxiv.org/pdf/1501.00092v2.pdf http://waifu2x.udp.jp/ https://github.com/nagadomi/waifu2x http://waifu2x-avisynth.sunnyone.org/ https://github.com/sunnyone/Waifu2xAvisynth - http://i-programmer.info/news/192-photography-a-imaging/1010... https://github.com/david-gpu/srez - http://arxiv.org/pdf/1609.04802v1.pdf
In Neural Enhance – Super Resolution for images using deep learning

MAKE YOURSELF AT HOME

A few shortcuts

/
Search the collection
?
Open this guide
Esc
Close dialogs and navigation

Your saved repositories and interests stay in this browser.