ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2111.02447
  4. Cited By
On the Frequency Bias of Generative Models

On the Frequency Bias of Generative Models

3 November 2021
Katja Schwarz
Yiyi Liao
Andreas Geiger
ArXivPDFHTML

Papers citing "On the Frequency Bias of Generative Models"

15 / 15 papers shown
Title
Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$-Constrained Optimization
Controllable Unlearning for Image-to-Image Generative Models via ε\varepsilonε-Constrained Optimization
Xiaohua Feng
Chao-Jun Chen
Yuyuan Li
L. Zhang
Longfei Li
Jun Zhou
Xiaolin Zheng
MU
73
0
0
20 Feb 2025
Model Synthesis for Zero-Shot Model Attribution
Model Synthesis for Zero-Shot Model Attribution
Tianyun Yang
Juan Cao
Danding Wang
Chang Xu
WIGM
72
4
0
20 Jan 2025
Training on Synthetic Data Beats Real Data in Multimodal Relation
  Extraction
Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction
Zilin Du
Haoxin Li
Xu Guo
Boyang Li
35
1
0
05 Dec 2023
Tracing Hyperparameter Dependencies for Model Parsing via Learnable
  Graph Pooling Network
Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network
Xiao Guo
Vishal Asnani
Sijia Liu
Xiaoming Liu
27
5
0
03 Dec 2023
EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by
  Semantic Segmentation
EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation
Nikolai Korber
Eduard Kromer
Andreas Siebert
S. Hauke
Daniel Mueller-Gritschneder
Björn Schuller
DiffM
VLM
26
4
0
06 Sep 2023
Image Synthesis under Limited Data: A Survey and Taxonomy
Image Synthesis under Limited Data: A Survey and Taxonomy
Mengping Yang
Zhe Wang
28
8
0
31 Jul 2023
Both Spatial and Frequency Cues Contribute to High-Fidelity Image
  Inpainting
Both Spatial and Frequency Cues Contribute to High-Fidelity Image Inpainting
Ze Lu
Yalei Lv
Wenqi Wang
Pengfei Xiong
36
1
0
15 Jul 2023
fRegGAN with K-space Loss Regularization for Medical Image Translation
fRegGAN with K-space Loss Regularization for Medical Image Translation
Ivo M. Baltruschat
Felix Kreis
A. Hoelscher
Melanie Dohmen
Matthias Lenga
GAN
MedIm
27
3
0
28 Mar 2023
DreamBooth3D: Subject-Driven Text-to-3D Generation
DreamBooth3D: Subject-Driven Text-to-3D Generation
Amit Raj
S. Kaza
Ben Poole
Michael Niemeyer
Nataniel Ruiz
...
Kfir Aberman
Michael Rubinstein
Jonathan T. Barron
Yuanzhen Li
Varun Jampani
DiffM
24
220
0
23 Mar 2023
Data Redaction from Pre-trained GANs
Data Redaction from Pre-trained GANs
Zhifeng Kong
Kamalika Chaudhuri
55
16
0
29 Jun 2022
Overview frequency principle/spectral bias in deep learning
Overview frequency principle/spectral bias in deep learning
Z. Xu
Yaoyu Zhang
Tao Luo
FaML
30
66
0
19 Jan 2022
Spectral Bias in Practice: The Role of Function Frequency in
  Generalization
Spectral Bias in Practice: The Role of Function Frequency in Generalization
Sara Fridovich-Keil
Raphael Gontijo-Lopes
Rebecca Roelofs
41
28
0
06 Oct 2021
Wavelet-Packets for Deepfake Image Analysis and Detection
Wavelet-Packets for Deepfake Image Analysis and Detection
Moritz Wolter
F. Blanke
R. Heese
Jochen Garcke
CVBM
22
41
0
17 Jun 2021
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
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
195
5,176
0
16 Sep 2016
1