< Index
ProxImaL: Efficient Image Optimization using Proximal Algorithms
Felix
Heide
Steven
Diamond
Matthias
Nießner
Jonathan
Ragan-Kelley
Wolfgang
Heidrich
Gordon
Wetzstein
SIGGRAPH 2016
ACM
preprint
Code
Code 2
DOI Metadata
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Information
Paper topic
: Image
Software type
: Code
Able to run a replicability test
: True
Replicability score
: 3
License
: MIT
Build mechanism
: Other script
Dependencies
: numpy / scipy / pil / pip / opencv
Documentation score
{0,1,2}: 1
Reviewer
: David Coeurjolly
Source code information
Code URL
:
http://www.proximal-lang.org/en/latest/
Code URL 2
:
https://github.com/comp-imaging/ProxImaL
Git commit hash
: 2804c19e141b637a5fcbf92acdcae81cab4c6d1e
Software Heritage link
:
Comments
Works perfectly on linux. I was able to run the example but not all paper results.
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