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BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography
[article]
2017
arXiv
pre-print
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We believe our Behance Artistic Media dataset will be a good starting point for researchers wishing to study artistic imagery and relevant problems. ...
We annotate Behance imagery with rich attribute labels for content, emotions, and artistic media. ...
BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography
Michael J. ...
arXiv:1704.08614v2
fatcat:vgjcnt7tyrhcvdsfctwvyyvvzu
Gaudí: Conversational Interactions with Deep Representations to Generate Image Collections
[article]
2021
arXiv
pre-print
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Based on recent advances in realistic language modeling (GPT-3) and cross-modal representations (CLIP), Gaud\'i was developed to help designers search for inspirational images using natural language. ...
Gaud\'i transforms this process into a conversation where the user is gradually detailing the mood-board's theme. ...
Bam! the
behance artistic media dataset for recognition beyond photography. ...
arXiv:2112.04404v1
fatcat:vttgytmprnda7pprvukffktt6i
Photozilla: A Large-Scale Photography Dataset and Visual Embedding for 20 Photography Styles
[article]
2021
arXiv
pre-print
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The advent of social media platforms has been a catalyst for the development of digital photography that engendered a boom in vision applications. ...
We report an accuracy of over 68% for identifying 10 other distinct types of photography styles. This dataset can be found at https://trisha025.github.io/Photozilla/ ...
[25] focused on contemporary artwork and featured an artistic imagery dataset, BAM, collected from the Behance website. ...
arXiv:2106.11359v1
fatcat:ivzvaayo4zgovgyb7xr6x23cie
Deep learning approaches to pattern extraction and recognition in paintings and drawings: an overview
2021
Neural computing & applications (Print)
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AbstractThis paper provides an overview of some of the most relevant deep learning approaches to pattern extraction and recognition in visual arts, particularly painting and drawing. ...
Recent advances in deep learning and computer vision, coupled with the growing availability of large digitized visual art collections, have opened new opportunities for computer science researchers to ...
Acknowledgements Gennaro Vessio acknowledges the financial support of the Italian Ministry of University and Research through the PON AIM 1852414 project. ...
doi:10.1007/s00521-021-05893-z
fatcat:elqzw3hzbzgodotie6ndih537u
The ArtBench Dataset: Benchmarking Generative Models with Artworks
[article]
2022
arXiv
pre-print
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We introduce ArtBench-10, the first class-balanced, high-quality, cleanly annotated, and standardized dataset for benchmarking artwork generation. ...
The dataset is available at https://github.com/liaopeiyuan/artbench under a Fair Use license. ...
The authors would also like to express gratitude towards WikiArt, the Surrealism Website, Japanese Woodblock Print Search, and all the artists who appeared in the dataset. ...
arXiv:2206.11404v1
fatcat:6ci5o75ttnglff4gab5bczi6la
Learning perceptual similarity from crowds and machines
2018
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Finally, we will discuss our work on creating a large-scale dataset of artwork that the research community can use to explore these ideas. out my mentor, Serge Belongie, whose patient guidance was instrumental ...
I have also had the pleasure of relying on the support and encouragement of many peers. This thesis is based off of joint work with Andreas ...
THE BEHANCE ARTISTIC MEDIA DATASET FOR RECOGNITION BEYOND PHOTOGRAPHY "Art is an effort to create, beside the real world, a more humane world." -
André Maurois Recent advances in Computer Vision have ...
doi:10.7298/x4fx77qk
fatcat:u4igmz453fdpdi23nyuyp4ez2a