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Papers matching “Fréchet Inception Distance” 9

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A Pragmatic Note on Evaluating Generative Models with Fréchet Inception Distance for Retinal Image Synthesis
2025 arXiv (Cornell University) preprint Computer Science Generative Adversarial Networks and Image Synthesis Open access

Yuli Wu, Fucheng Liu, Rüveyda Yilmaz, Henning Konermann, Peter Walter, Johannes Stegmaier

1

citations
On the Noise Scheduling for Generating Plausible Designs with Diffusion Models
2023 arXiv (Cornell University) preprint Computer Science Generative Adversarial Networks and Image Synthesis Open access

Jiajie Fan, Laure Vuaille, Thomas Bäck, Hao Wang

1

citations
Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance
2024 Computers in Biology and Medicine article Computer Science AI in cancer detection Open access

Gustav Anton Müller‐Franzes, Yoni Schirris, Sophia J. Wagner, Michael Adrian Jendrusch, Matthias Kloor, Alexander T. Pearson, +6 more

13

citations
Towards artificial data generation for accelerated PET detector ML-based timing calibration using GANs
2024 conference-paper Physics and Astronomy Radiation Detection and Scintillator Technologies

Kostiantyn Lavronenko, L. Lopes de Paiva, Florian Mueller, Volkmar Schulz, Stephan Naunheim

1

citations
GASTeNv2: Generative Adversarial Stress Testing Networks with Gaussian Loss
2024 Lecture notes in computer science conference-paper Computer Science Adversarial Robustness in Machine Learning

Cátia Teixeira, I. L. V. GOMES, Carlos Soares, Jan N. van Rijn

2

citations
Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder
2024 Lecture notes in computer science conference-paper Computer Science Generative Adversarial Networks and Image Synthesis Open access

Jiacheng Fan, Amal Trigui, Thomas Bäck, Hao Wang

1

citations
Identifying the advantageous latent space dimensionality for StyleGANs used in industrial machine vision applications
2023 conference-paper Computer Science Generative Adversarial Networks and Image Synthesis

Dominik Wolfschläger, Ruslan Yermakov, Benjamin Montavon, Benjamin Berkels, Robert H. Schmitt

1

citations
Augmentation of 3D virtual aggregate database using deep convolutional Wasserstein generative adversarial networks
2025 Advanced Engineering Informatics article Engineering Asphalt Pavement Performance Evaluation Open access

Dong Feng, Jinchao Guan, Chaoliang Fu, Yuanyuan Hu, Frédéric Otto, Álvaro García

20

citations
Akin: Generating UI Wireframes From UI Design Patterns Using Deep Learning
2021 ACM International Conference on Intelligent User Interfaces (IUI) conference-paper Computer Science Usability and User Interface Design cited by 10 patents

Nishit Gajjar, Vinoth Pandian Sermuga Pandian, Sarah Suleri, Matthias Jarke

17

citations

9 results