Art Analysis

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

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.

Most implemented papers archive 2025-07-28

13 shown of 13 papers with code (42 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.

• ArtGAN: Artwork Synthesis with Conditional Categorical GANs
  11 Feb 2017 4 repositories listed
  This paper proposes an extension to the Generative Adversarial Networks (GANs), namely as ARTGAN to synthetically generate more challenging and complex images such as artwork that have abstract characteristics.
• HappyDB: A Corpus of 100,000 Crowdsourced Happy Moments
  23 Jan 2018 2 repositories listed
  The science of happiness is an area of positive psychology concerned with understanding what behaviors make people happy in a sustainable fashion.
• 2D Human Pose Estimation: New Benchmark and State of the Art Analysis
  1 Jun 2014 2 repositories listed
  Human pose estimation has made significant progress during the last years.
• 1-2-3-Go! Policy Synthesis for Parameterized Markov Decision Processes via Decision-Tree Learning and Generalization
  23 Oct 2024 1 repository listed
  Synthesizing policies for such \emph{huge} MDPs is beyond the reach of available tools.
• GalleryGPT: Analyzing Paintings with Large Multimodal Models
  1 Aug 2024 1 repository listed Syntology ran 7 of 9 samples · 2 unverified
  Specifically, we first propose a task of composing paragraph analysis for artworks, i.
• PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis
  24 May 2024 1 repository listed Syntology ran 3 of 8 samples · 5 unverified
  In this study, we introduce PoinTramba, a pioneering hybrid framework that synergies the analytical power of Transformer with the remarkable computational efficiency of Mamba for enhanced point cloud analysis.
• Not Only Generative Art: Stable Diffusion for Content-Style Disentanglement in Art Analysis
  20 Apr 2023 1 repository listed
  The duality of content and style is inherent to the nature of art.
• A Challenging Benchmark of Anime Style Recognition
  29 Apr 2022 1 repository listed
  Given two images of different anime roles, anime style recognition (ASR) aims to learn abstract painting style to determine whether the two images are from the same work, which is an interesting but challenging problem.
• Auditing Differentially Private Machine Learning: How Private is Private SGD?
  13 Jun 2020 1 repository listed Syntology ran 0 of 7 samples · 7 unverified
  We investigate whether Differentially Private SGD offers better privacy in practice than what is guaranteed by its state-of-the-art analysis.
• A Morphable Face Albedo Model
  6 Apr 2020 1 repository listed
  In this paper, we bring together two divergent strands of research: photometric face capture and statistical 3D face appearance modelling.
• Context-Aware Embeddings for Automatic Art Analysis
  10 Apr 2019 1 repository listed
  Whereas visual representations are able to capture information about the content and the style of an artwork, our proposed context-aware embeddings additionally encode relationships between different artistic…
• Juman++: A Morphological Analysis Toolkit for Scriptio Continua
  1 Nov 2018 1 repository listed
  We present a three-part toolkit for developing morphological analyzers for languages without natural word boundaries.
• Focused Proofreading: Efficiently Extracting Connectomes from Segmented EM Images
  3 Sep 2014 1 repository listed
  In this paper, we propose a new strategy, focused proofreading, that works with automatic segmentation and aims to limit proofreading to the regions of a dataset that are most impactful to the resulting circuit.

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.