mlsanityData to 7 Oct 2026

Ethics and Creativity in Computer Vision

arXiv 2112.03111 ↗First posted 6 Dec 2021cs.CV cs.CY cs.LGcited by 15

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Abstract (arXiv)

This paper offers a retrospective of what we learnt from organizing the workshop *Ethical Considerations in Creative applications of Computer Vision* at CVPR 2021 conference and, prior to that, a series of workshops on *Computer Vision for Fashion, Art and Design* at ECCV 2018, ICCV 2019, and CVPR 2020. We hope this reflection will bring artists and machine learning researchers into conversation around the ethical and social dimensions of creative applications of computer vision.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). Builds on 4 of its 9 references that are in the map. First posted on arXiv 6 Dec 2021.

Builds on

4 of 9 references.

References · 4

  1. 2019DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Imagescited by 132
  2. 2018Fashion-Gen: The Generative Fashion Dataset and Challengecited by 65
  3. 2020Biases in Generative Art -- A Causal Look from the Lens of Art Historycited by 26
  4. 2019Predicting the Politics of an Image Using Webly Supervised Datacited by 10

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Citing papers per year: 2022: 2; 2023: 6; 2024: 4; 2025: 3.

15 papers.

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  1. 2022GAUDI: A Neural Architect for Immersive 3D Scene Generationcited by 136
  2. 2023CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Samplingcited by 124
  3. 2024Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Modelscited by 107
  4. 2024No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Modelscited by 52
  5. 2023Diffusion Probabilistic Fieldscited by 28
  6. 2024LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Modelscited by 22
  7. 2023The Ethical Implications of Generative Audio Models: A Systematic Literature Reviewcited by 18
  8. 2025Rectified-CFG++ for Flow Based Modelscited by 14
  9. 2025Guidance in the Frequency Domain Enables High-Fidelity Sampling at Low CFG Scalescited by 13
  10. 2023Manifold Diffusion Fieldscited by 11
  11. 2022M-VADER: A Model for Diffusion with Multimodal Contextcited by 6
  12. 2023Perceptions and Realities of Text-to-Image Generationcited by 5
3 more
  1. 2025Efficient Distillation of Classifier-Free Guidance using Adapterscited by 5
  2. 2024Generative Models are Self-Watermarked: Declaring Model Authentication through Re-Generationcited by 3
  3. 2023T1: Scaling Diffusion Probabilistic Fields to High-Resolution on Unified Visual Modalitiescited by 1