gaze redirection

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Most implemented papers archive 2025-07-28

6 shown of 6 papers with code (12 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.

• Learning Gaze-aware Compositional GAN
  31 May 2024 1 repository listed
  In this work, we present a generative framework to create annotated gaze data by leveraging the benefits of labeled and unlabeled data sources.
• GazeNeRF: 3D-Aware Gaze Redirection with Neural Radiance Fields
  8 Dec 2022 1 repository listed
  We propose GazeNeRF, a 3D-aware method for the task of gaze redirection.
• CUDA-GHR: Controllable Unsupervised Domain Adaptation for Gaze and Head Redirection
  21 Jun 2021 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  However, adopting such generative models to new domains while maintaining their ability to provide fine-grained control over different image attributes, \eg, gaze and head pose directions, has been a challenging problem.
• Controllable Continuous Gaze Redirection
  9 Oct 2020 1 repository listed
  The encoder maps images into a well-disentangled and hierarchically-organized latent space.
• Coarse-to-Fine Gaze Redirection with Numerical and Pictorial Guidance
  7 Apr 2020 1 repository listed
  In this paper, we propose to alleviate these problems by means of a novel gaze redirection framework which exploits both a numerical and a pictorial direction guidance, jointly with a coarse-to-fine learning strategy.
• Photo-Realistic Monocular Gaze Redirection Using Generative Adversarial Networks
  29 Mar 2019 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  In this work, we present a novel method to alleviate this problem by leveraging generative adversarial training to synthesize an eye image conditioned on a target gaze direction.

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.