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chuanli11
CNNMRF
Lua2016–2023
chuanli11 / CNNMRF

CNNMRF

code for paper "Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis"

5Distinct people
7Mentions
0Explicit recommenders
859GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

code for paper "Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis"

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 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 6:59:22 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 year7 dated mentions

Observed mentions: 2016-01-28 23:20:12 UTC to 2023-07-18 15:54:31 UTC.

0123452016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 5 mentions; 1 submissions, 4 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023

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
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC514
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC000
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC101
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC101

What Hacker News says

1 sources
"Style transfer" also rarely works for object level transfer - it is more pattern based (high frequency content is often the "style" that is enhanced and transferred). Really nice transfers in practice sometimes require the object level content in the images to be similar, c.f. [0][1]. And all of this is coupled with really heavy human curation (people don't normally show their bad outputs)! In music the "style" is the content in some sense. For example jazz has very different "style" than classical, at many levels (key and tempo choice/mode choice/melodic intervals/motifs/amount of repetition of said motif/how it varies/harmonization and chord choice/global structure (AABA format)) and it isn't easy separate what pieces make it "jazz", and what don't (what factors of variation matter). The equivalent in images would be replacing objects
Read the rest
as well as texture, to form a new image that is reminiscent of the original but also novel at multiple scales - think Simpson's "Last Supper" as the goal of a style transfer [2]. It is also hard because as consumers we are used to hearing high quality versions of these types of "style transfer" for some styles all the time - and we even have a name for it ... "muzak". [0] https://raw.githubusercontent.com/awentzonline/image-analogi... [1] https://github.com/chuanli11/CNNMRF [2] http://s267.photobucket.com/user/wiro_bucket/media/last%20su...
In Neural Style Transfer for Musical Melodies

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