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Controlled GAN-Based Creature Synthesis via a Challenging Game Art
  Dataset -- Addressing the Noise-Latent Trade-Off

Controlled GAN-Based Creature Synthesis via a Challenging Game Art Dataset -- Addressing the Noise-Latent Trade-Off

19 August 2021
Vaibhav Vavilala
David A. Forsyth
ArXivPDFHTML

Papers citing "Controlled GAN-Based Creature Synthesis via a Challenging Game Art Dataset -- Addressing the Noise-Latent Trade-Off"

5 / 5 papers shown
Title
Looks Like Magic: Transfer Learning in GANs to Generate New Card
  Illustrations
Looks Like Magic: Transfer Learning in GANs to Generate New Card Illustrations
Matheus K. Venturelli
P. H. Gomes
Jonatas Wehrmann
GAN
13
1
0
28 May 2022
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot
  Image Synthesis
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
Bingchen Liu
Yizhe Zhu
Kunpeng Song
Ahmed Elgammal
167
234
0
12 Jan 2021
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
191
1,027
0
06 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
282
10,354
0
12 Dec 2018
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
322
1,049
0
10 Feb 2017
1