Color Manipulation

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

6 shown of 6 papers with code (9 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition
  27 May 2020 3 repositories listed
  Arbitrary text appearance poses a great challenge in scene text recognition tasks.
• Efficient Neural Network Encoding for 3D Color Lookup Tables
  19 Dec 2024 1 repository listed
  To this end, we propose a model with a memory footprint of less than 0.
• NamedCurves: Learned Image Enhancement via Color Naming
  13 Jul 2024 1 repository listed
  A popular method for enhancing images involves learning the style of a professional photo editor using pairs of training images comprised of the original input with the editor-enhanced version.
• NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement
  20 Jun 2023 1 repository listed
  Moreover, a NILUT can be extended to incorporate multiple styles into a single network with the ability to blend styles implicitly.
• High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network
  19 May 2021 1 repository listed Syntology ran 3 of 5 samples · 2 unverified
  Existing image-to-image translation (I2IT) methods are either constrained to low-resolution images or long inference time due to their heavy computational burden on the convolution of high-resolution feature maps.
• Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer
  5 Apr 2021 1 repository listed
  However, existing works overlooked the latter components and confined makeup transfer to color manipulation, focusing only on light makeup styles.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.