Unsupervised Image Decomposition

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

3 shown of 3 papers with code (6 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.

• Unsupervised Image Decomposition with Phase-Correlation Networks
  7 Oct 2021 2 repositories listed
  The ability to decompose scenes into their object components is a desired property for autonomous agents, allowing them to reason and act in their surroundings.
• Unsupervised Learning of Compositional Energy Concepts
  4 Nov 2021 1 repository listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)
  In this work, we propose COMET, which discovers and represents concepts as separate energy functions, enabling us to represent both global concepts as well as objects under a unified framework.
• "Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors
  2 Dec 2018 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  It was shown [Ulyanov et al] that the structure of a single DIP generator network is sufficient to capture the low-level statistics of a single image.

Syntology lines on 2 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.