Face Hallucination

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

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

3 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

12 shown of 12 papers with code (51 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.

• ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
  1 Sep 2018 46 repositories listed Syntology ran 8 of 44 samples · 36 unverified
  To further enhance the visual quality, we thoroughly study three key components of SRGAN - network architecture, adversarial loss and perceptual loss, and improve each of them to derive an Enhanced SRGAN (ESRGAN).
• PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
  8 Mar 2020 16 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  We present an algorithm addressing this problem, PULSE (Photo Upsampling via Latent Space Exploration), which generates high-resolution, realistic images at resolutions previously unseen in the literature.
• HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment
  11 May 2020 5 repositories listed
  Existing face restoration researches typically relies on either the degradation prior or explicit guidance labels for training, which often results in limited generalization ability over real-world images with…
• DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution
  9 Apr 2020 2 repositories listed
  To the best of our knowledge, DeepSEE is the first method to leverage semantic maps for explorative super-resolution.
• Context-Patch Face Hallucination Based on Thresholding Locality-constrained Representation and Reproducing Learning
  3 Sep 2018 2 repositories listed
  To this end, this study incorporates the contextual information of image patch and proposes a powerful and efficient context-patch based face hallucination approach, namely Thresholding Locality-constrained…
• EDFace-Celeb-1M: Benchmarking Face Hallucination with a Million-scale Dataset
  11 Oct 2021 1 repository listed
  It is thus unclear how these algorithms perform on public face hallucination datasets.
• VidFace: A Full-Transformer Solver for Video FaceHallucination with Unaligned Tiny Snapshots
  31 May 2021 1 repository listed
  In this paper, we investigate the task of hallucinating an authentic high-resolution (HR) human face from multiple low-resolution (LR) video snapshots.
• Simultaneous Face Hallucination and Translation for Thermal to Visible Face Verification using Axial-GAN
  13 Apr 2021 1 repository listed
  Existing thermal-to-visible face verification approaches expect the thermal and visible face images to be of similar resolution.
• Deep Learning-based Face Super-Resolution: A Survey
  11 Jan 2021 1 repository listed
  Second, we elaborate on the facial characteristics and popular datasets used in FSR.
• Face Hallucination via Split-Attention in Split-Attention Network
  22 Oct 2020 1 repository listed
  However, most of them fail to take into account the overall facial profile and fine texture details simultaneously, resulting in reduced naturalness and fidelity of the reconstructed face, and further impairing the…
• SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination
  22 Jul 2018 1 repository listed
  Despite generative adversarial networks (GANs) can hallucinate photo-realistic high-resolution (HR) faces from low-resolution (LR) faces, they cannot guarantee preserving the identities of hallucinated HR faces, making…
• Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination
  28 Jun 2018 1 repository listed
  Most of the current face hallucination methods, whether they are shallow learning-based or deep learning-based, all try to learn a relationship model between Low-Resolution (LR) and High-Resolution (HR) spaces with the…

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.