Face Age Editing

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

2 datasets 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.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

5 shown of 5 papers with code (8 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.

• Only a Matter of Style: Age Transformation Using a Style-Based Regression Model
  4 Feb 2021 2 repositories listed
  In this formulation, our method approaches the continuous aging process as a regression task between the input age and desired target age, providing fine-grained control over the generated image.
• High Resolution Face Age Editing
  9 May 2020 2 repositories listed
  We present an encoder-decoder architecture for face age editing.
• Lifespan Age Transformation Synthesis
  21 Mar 2020 2 repositories listed
  Most existing aging methods are limited to changing the texture, overlooking transformations in head shape that occur during the human aging and growth process.
• Face Aging via Diffusion-based Editing
  20 Sep 2023 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  We propose FADING, a novel approach to address Face Aging via DIffusion-based editiNG.
• Custom Structure Preservation in Face Aging
  22 Jul 2022 1 repository listed
  In this work, we propose a novel architecture for face age editing that can produce structural modifications while maintaining relevant details present in the original image.

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.