Aesthetics Quality Assessment

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 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

6 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 (20 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.

• NIMA: Neural Image Assessment
  15 Sep 2017 12 repositories listed
  Automatically learned quality assessment for images has recently become a hot topic due to its usefulness in a wide variety of applications such as evaluating image capture pipelines, storage techniques and sharing…
• ILGNet: Inception Modules with Connected Local and Global Features for Efficient Image Aesthetic Quality Classification using Domain Adaptation
  7 Oct 2016 2 repositories listed
  Thus, it is easy to use a pre-trained GoogLeNet for large-scale image classification problem and fine tune our connected layers on an large scale database of aesthetic related images: AVA, i.
• Photo Aesthetics Ranking Network with Attributes and Content Adaptation
  6 Jun 2016 2 repositories listed
  In this work, we propose to learn a deep convolutional neural network to rank photo aesthetics in which the relative ranking of photo aesthetics are directly modeled in the loss function.
• Composition-Preserving Deep Photo Aesthetics Assessment
  1 Jun 2016 2 repositories listed
  Deep convolutional neural network (ConvNet) methods have recently shown promising results for aesthetics assessment.
• Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
  28 Dec 2023 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  The explosion of visual content available online underscores the requirement for an accurate machine assessor to robustly evaluate scores across diverse types of visual contents.
• Understanding Aesthetics with Language: A Photo Critique Dataset for Aesthetic Assessment
  17 Jun 2022 1 repository listed
  In this regard, we propose the Reddit Photo Critique Dataset (RPCD), which contains tuples of image and photo critiques.
• OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression
  6 Jun 2022 1 repository listed
  In this paper, we propose to learn the rank concepts from the rich semantic CLIP latent space.
• Image Composition Assessment with Saliency-augmented Multi-pattern Pooling
  7 Apr 2021 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  Image composition assessment is crucial in aesthetic assessment, which aims to assess the overall composition quality of a given image.
• Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression
  25 Mar 2021 1 repository listed Syntology ran 8 of 8 samples · 0 unverified · 8 pointer-only (licence)
  An ordinal distribution constraint is proposed to exploit the ordinal nature of regression.
• Personalized Image Aesthetics Assessment via Meta-Learning With Bilevel Gradient Optimization
  11 Jun 2020 1 repository listed
  Typical image aesthetics assessment (IAA) is modeled for the generic aesthetics perceived by an ``average'' user.
• Effective Aesthetics Prediction with Multi-level Spatially Pooled Features
  2 Apr 2019 1 repository listed
  We propose an effective deep learning approach to aesthetics quality assessment that relies on a new type of pre-trained features, and apply it to the AVA data set, the currently largest aesthetics database.
• Attention-based Multi-Patch Aggregation for Image Aesthetic Assessment
  22 Oct 2018 1 repository listed
  Aggregation structures with explicit information, such as image attributes and scene semantics, are effective and popular for intelligent systems for assessing aesthetics of visual data.

Syntology lines on 3 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.