Learning Implicit Generative Models by Matching Perceptual Features

4 April 2019

Papers citing "Learning Implicit Generative Models by Matching Perceptual Features"

8 / 8 papers shown

Title
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models Kyeongkook Seo Dong-Jun Han Jaejun Yoo 42 0 0 11 Mar 2025
Multiscale Sliced Wasserstein Distances as Perceptual Color Difference Measures Jiaqi He Zhihua Wang Leon Wang Tsein-I Liu Yuming Fang Qilin Sun Kede Ma 30 2 0 14 Jul 2024
Stylized Projected GAN: A Novel Architecture for Fast and Realistic Image Generation Md Nurul Muttakin Malik Shahid Sultan R. Hoehndorf H. Ombao GAN 28 0 0 30 Jul 2023
Deep Semantic Statistics Matching (D2SM) Denoising Network Kangfu Mei Vishal M. Patel Rui Huang DiffM 13 8 0 19 Jul 2022
Projected GANs Converge Faster Axel Sauer Kashyap Chitta Jens Muller Andreas Geiger 47 233 0 01 Nov 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 29 2 0 04 Jan 2021
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow Youssef Mroueh Truyen V. Nguyen 26 25 0 04 Nov 2020
Statistical Inference for Generative Models with Maximum Mean Discrepancy François‐Xavier Briol Alessandro Barp Andrew B. Duncan Mark Girolami 21 70 0 13 Jun 2019