A Loss Function for Generative Neural Networks Based on Watson's
Perceptual Model

A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model

26 June 2020

Papers citing "A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model"

11 / 11 papers shown

Title
VIDSTAMP: A Temporally-Aware Watermark for Ownership and Integrity in Video Diffusion Models Mohammadreza Teymoorianfard Shiqing Ma Amir Houmansadr WIGM 72 0 0 02 May 2025
LAVIB: A Large-scale Video Interpolation Benchmark Alexandros Stergiou 49 2 0 14 Jun 2024
AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer Joon-Byum Kwon Sooyoung Kim Yuewei Lin Shinjae Yoo Jiook Cha 39 11 0 10 Dec 2023
Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target Imputation Sara Björk S. N. Anfinsen Michael C. Kampffmeyer E. Næsset T. Gobakken Lennart Noordermeer 18 1 0 19 Jun 2023
Explainable Recommender with Geometric Information Bottleneck Hanqi Yan Lin Gui Menghan Wang Kun Zhang Yulan He 21 2 0 09 May 2023
Explicitly Minimizing the Blur Error of Variational Autoencoders G. Bredell Kyriakos Flouris K. Chaitanya Ertunc Erdil E. Konukoglu 26 22 0 12 Apr 2023
The Stable Signature: Rooting Watermarks in Latent Diffusion Models Pierre Fernandez Guillaume Couairon Hervé Jégou Matthijs Douze Teddy Furon WIGM 34 177 0 27 Mar 2023
Investigating Prompt Engineering in Diffusion Models Sam Witteveen Martin Andrews 11 58 0 21 Nov 2022
Simpler is better: spectral regularization and up-sampling techniques for variational autoencoders Sara Bjork Jonas Nordhaug Myhre T. Johansen DRL 50 5 0 19 Jan 2022
Clean Images are Hard to Reblur: Exploiting the Ill-Posed Inverse Task for Dynamic Scene Deblurring Seungjun Nah Sanghyun Son Jaerin Lee Kyoung Mu Lee 69 17 0 26 Apr 2021
Semantic similarity metrics for learned image registration Steffen Czolbe Oswin Krause Aasa Feragen 33 14 0 20 Apr 2021