An Improved Evaluation Framework for Generative Adversarial Networks

An Improved Evaluation Framework for Generative Adversarial Networks

20 March 2018

Jie Zhou

Papers citing "An Improved Evaluation Framework for Generative Adversarial Networks"

8 / 8 papers shown

Title
A Pragmatic Note on Evaluating Generative Models with Fréchet Inception Distance for Retinal Image Synthesis Yuli Wu Fucheng Liu Rüveyda Yilmaz Henning Konermann Peter Walter Johannes Stegmaier EGVM MedIm 55 1 0 24 Feb 2025
Edge-preserving noise for diffusion models Jente Vandersanden Sascha Holl Xingchang Huang Gurprit Singh DiffM 37 0 0 02 Oct 2024
The Challenges of Image Generation Models in Generating Multi-Component Images Tham Yik Foong Shashank Kotyan Poyuan Mao Danilo Vasconcellos Vargas EGVM 52 1 0 22 Nov 2023
Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation Mayu Otani Riku Togashi Yu Sawai Ryosuke Ishigami Yuta Nakashima Esa Rahtu J. Heikkilä Shiníchi Satoh 38 62 0 04 Apr 2023
Conditional Frechet Inception Distance Michael Soloveitchik Tzvi Diskin E. Morin A. Wiesel EGVM 32 33 0 21 Mar 2021
Influence Estimation for Generative Adversarial Networks Naoyuki Terashita Hiroki Ohashi Yuichi Nonaka T. Kanemaru TDI 38 12 0 20 Jan 2021
Exocentric to Egocentric Image Generation via Parallel Generative Adversarial Network Gaowen Liu Hao Tang Hugo Latapie Yan Yan GAN 17 26 0 08 Feb 2020
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 78 390 0 20 Oct 2016