mlsanityData to 7 Oct 2026

Image Aesthetics Assessment via Learnable Queries

arXiv 2309.02861 ↗First posted 6 Sep 2023cs.CVcited by 4

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Abstract (arXiv)

Image aesthetics assessment (IAA) aims to estimate the aesthetics of images. Depending on the content of an image, diverse criteria need to be selected to assess its aesthetics. Existing works utilize pre-trained vision backbones based on content knowledge to learn image aesthetics. However, training those backbones is time-consuming and suffers from attention dispersion. Inspired by learnable queries in vision-language alignment, we propose the Image Aesthetics Assessment via Learnable Queries (IAA-LQ) approach. It adapts learnable queries to extract aesthetic features from pre-trained image features obtained from a frozen image encoder. Extensive experiments on real-world data demonstrate the advantages of IAA-LQ, beating the best state-of-the-art method by 2.2% and 2.1% in terms of SRCC and PLCC, respectively.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 14 of its 22 references that are in the map. First posted on arXiv 6 Sep 2023.

Builds on

14 of 22 references.

References · 14

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  3. 2023BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Modelscited by 6,069
  4. 2021MUSIQ: Multi-scale Image Quality Transformercited by 1,058
  5. 2022Exploring CLIP for Assessing the Look and Feel of Imagescited by 974
  6. 2022EVA: Exploring the Limits of Masked Visual Representation Learning at Scalecited by 685
  7. 2022MaxViT: Multi-Axis Vision Transformercited by 476
  8. 2017NIMA: Neural Image Assessmentcited by 387
  9. 2023VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretrainingcited by 63
  10. 2022Personalized Image Aesthetics Assessment with Rich Attributescited by 56
  11. 2019Effective Aesthetics Prediction with Multi-level Spatially Pooled Featurescited by 52
  12. 2020Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessmentcited by 28
2 more
  1. 2018A Gated Peripheral-Foveal Convolutional Neural Network for Unified Image Aesthetic Predictioncited by 11
  2. 2022Image Aesthetics Assessment Using Graph Attention Networkcited by 5

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 0; 2026: 1.

4 papers.

  1. 2024UNIAA: A Unified Multi-modal Image Aesthetic Assessment Baseline and Benchmarkcited by 39
  2. 2024EDTformer: An Efficient Decoder Transformer for Visual Place Recognitioncited by 10
  3. 2024Multi-modal Learnable Queries for Image Aesthetics Assessmentcited by 1
  4. 2026Evolving to the Aesthetics of a Vision-Language Modelcited by 0