Convolutional neural networks applied to modification of images
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Abstract (arXiv)
The reader will learn how digital images are edited using linear algebra and calculus. Starting from the concept of filter towards machine learning techniques such as convolutional neural networks.
Key facts. Cited by 1 paper in the map (data through 13 Oct 2026). Builds on 7 of its 23 references that are in the map. First posted on arXiv 8 Oct 2024.
Builds on
7 of 23 references.
References · 7
- 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,777
- 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,339
- 2021Zero-Shot Text-to-Image Generationcited by 4,284
- 2014Going Deeper with Convolutionscited by 4,239
- 2016Generative Adversarial Text to Image Synthesiscited by 735
- 2022CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformerscited by 307
- 2021Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognitioncited by 96
Built on by
Citing papers per year: 2024: 1.
1 paper.
- 2024Order Theory in the Context of Machine Learningcited by 0
- 2024Order Theory in the Context of Machine Learning8 Dec 2024