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caoscott
SReC
Python2020–2020
caoscott / SReC

SReC

PyTorch Implementation of "Lossless Image Compression through Super-Resolution"

2Distinct people
2Mentions
0Explicit recommenders
1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

PyTorch Implementation of "Lossless Image Compression through Super-Resolution"

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

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:03:16 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 hour2 dated mentions

Observed mentions: 2020-04-07 13:17:31 UTC to 2020-04-07 15:25:44 UTC.

012020-04-07 13:00:00 UTC to 2020-04-07 14:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsApr 7, 13:002020-04-07 14:00:00 UTC to 2020-04-07 15:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsApr 7, 14:002020-04-07 15:00:00 UTC to 2020-04-07 16:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsApr 7, 15:00

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
Apr 7, 13:002020-04-07 13:00:00 UTC2020-04-07 14:00:00 UTC110
Apr 7, 14:002020-04-07 14:00:00 UTC2020-04-07 15:00:00 UTC000
Apr 7, 15:002020-04-07 15:00:00 UTC2020-04-07 16:00:00 UTC101

What Hacker News says

2 sources
From peaking at the code, it seems like each lower res image is a scaled down version of the original plus a tensor that is used to upscale to the previous image. The resulting tensor is saved and the scaled image is used as the input to the next iteration. The decode process takes the last image from the process above, and iteratively applies the upscalers until the original image has been reproduced. Link to the code in question: https://github.com/caoscott/SReC/blob/master/src/l3c/bitcodi...
In Lossless Image Compression Through Super-Resolution

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