All's well that FID's well? Result quality and metric scores in GAN models for lip-sychronization tasks

12/28/2022
by   Carina Geldhauser, et al.
0

We test the performance of GAN models for lip-synchronization. For this, we reimplement LipGAN in Pytorch, train it on the dataset GRID and compare it to our own variation, L1WGAN-GP, adapted to the LipGAN architecture and also trained on GRID.

READ FULL TEXT

page 3

page 5

page 7

page 8

page 10

research
10/01/2020

Tabular GANs for uneven distribution

GANs are well known for success in the realistic image generation. Howev...
research
04/26/2022

Application of WGAN-GP in recommendation and Questioning the relevance of GAN-based approaches

Many neural-based recommender systems were proposed in recent years and ...
research
08/13/2020

Synthesizing Property Casualty Ratemaking Datasets using Generative Adversarial Networks

Due to confidentiality issues, it can be difficult to access or share in...
research
07/26/2021

Utilizing synchronization to partition power networks into microgrids

The problem of partitioning a power grid into a set of microgrids, or is...
research
07/29/2022

Image Augmentation for Satellite Images

This study proposes the use of generative models (GANs) for augmenting t...
research
11/26/2019

AuthorGAN: Improving GAN Reproducibility using a Modular GAN Framework

Generative models are becoming increasingly popular in the literature, w...
research
09/05/2019

Poly-GAN: Multi-Conditioned GAN for Fashion Synthesis

We present Poly-GAN, a novel conditional GAN architecture that is motiva...

Please sign up or login with your details

Forgot password? Click here to reset