Pose-Guided Image Generation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

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Most implemented papers archive 2025-07-28

4 shown of 4 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.

• Rethink Sparse Signals for Pose-guided Text-to-image Generation
  26 Jun 2025 1 repository listed
  This fact motivates us to revisit sparse signals for pose guidance, owing to their simplicity and shape-agnostic nature, which remains underexplored.
• Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis
  28 Feb 2024 1 repository listed Syntology ran 5 of 7 samples · 2 unverified
  While existing methods simply align the person appearance to the target pose, they are prone to overfitting due to the lack of a high-level semantic understanding on the source person image.
• Reposing Humans by Warping 3D Features
  8 Jun 2020 1 repository listed
  We address the problem of reposing an image of a human into any desired novel pose.
• Coordinate-based Texture Inpainting for Pose-Guided Image Generation
  28 Nov 2018 1 repository listed
  Since the input photograph always observes only a part of the surface, we suggest a new inpainting method that completes the texture of the human body.

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 2026-09-25.