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Toward Spatially Unbiased Generative Models

Toward Spatially Unbiased Generative Models

3 August 2021
Jooyoung Choi
Jungbeom Lee
Yonghyun Jeong
Sungroh Yoon
    DiffM
ArXivPDFHTML

Papers citing "Toward Spatially Unbiased Generative Models"

21 / 21 papers shown
Title
HiTSR: A Hierarchical Transformer for Reference-based Super-Resolution
HiTSR: A Hierarchical Transformer for Reference-based Super-Resolution
Masoomeh Aslahishahri
Jordan R. Ubbens
Ian Stavness
29
0
0
30 Aug 2024
The Crystal Ball Hypothesis in diffusion models: Anticipating object
  positions from initial noise
The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise
Yuanhao Ban
Ruochen Wang
Tianyi Zhou
Boqing Gong
Cho-Jui Hsieh
Minhao Cheng
DiffM
43
4
0
04 Jun 2024
Arbitrary-Scale Image Generation and Upsampling using Latent Diffusion
  Model and Implicit Neural Decoder
Arbitrary-Scale Image Generation and Upsampling using Latent Diffusion Model and Implicit Neural Decoder
Jinseok Kim
Tae-Kyun Kim
21
11
0
15 Mar 2024
Zone Evaluation: Revealing Spatial Bias in Object Detection
Zone Evaluation: Revealing Spatial Bias in Object Detection
Zhaohui Zheng
Yuming Chen
Qibin Hou
Xiang Li
Ping Wang
Ming-Ming Cheng
ObjD
24
3
0
20 Oct 2023
UnitedHuman: Harnessing Multi-Source Data for High-Resolution Human
  Generation
UnitedHuman: Harnessing Multi-Source Data for High-Resolution Human Generation
Jianglin Fu
Shikai Li
Yuming Jiang
Kwan-Yee Lin
Wayne Wu
Ziwei Liu
3DH
41
12
0
25 Sep 2023
LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models
LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models
Kazuto Nakashima
Ryo Kurazume
DiffM
10
27
0
17 Sep 2023
DARTS: Double Attention Reference-based Transformer for Super-resolution
DARTS: Double Attention Reference-based Transformer for Super-resolution
Masoomeh Aslahishahri
Jordan R. Ubbens
Ian Stavness
19
3
0
17 Jul 2023
Improving Translation Invariance in Convolutional Neural Networks with
  Peripheral Prediction Padding
Improving Translation Invariance in Convolutional Neural Networks with Peripheral Prediction Padding
Kensuke Mukai
Takao Yamanaka
26
0
0
15 Jul 2023
OPE-SR: Orthogonal Position Encoding for Designing a Parameter-free
  Upsampling Module in Arbitrary-scale Image Super-Resolution
OPE-SR: Orthogonal Position Encoding for Designing a Parameter-free Upsampling Module in Arbitrary-scale Image Super-Resolution
Gaochao Song
Luo Zhang
Ran Su
Jianfeng Shi
Yingchuan He
Qian Sun
SupR
42
12
0
02 Mar 2023
Learning to Generate 3D Shapes from a Single Example
Learning to Generate 3D Shapes from a Single Example
Rundi Wu
Changxi Zheng
GAN
3DV
10
32
0
05 Aug 2022
Unveiling The Mask of Position-Information Pattern Through the Mist of
  Image Features
Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features
C. Lin
Hsin-Ying Lee
Hung-Yu Tseng
M. Singh
Ming-Hsuan Yang
19
3
0
02 Jun 2022
Any-resolution Training for High-resolution Image Synthesis
Any-resolution Training for High-resolution Image Synthesis
Lucy Chai
Michael Gharbi
Eli Shechtman
Phillip Isola
Richard Y. Zhang
22
65
0
14 Apr 2022
Arbitrary-Scale Image Synthesis
Arbitrary-Scale Image Synthesis
Evangelos Ntavelis
Mohamad Shahbazi
I. Kastanis
Radu Timofte
Martin Danelljan
Luc Van Gool
13
22
0
05 Apr 2022
Towards Universal Texture Synthesis by Combining Texton Broadcasting
  with Noise Injection in StyleGAN-2
Towards Universal Texture Synthesis by Combining Texton Broadcasting with Noise Injection in StyleGAN-2
Jue-Wen Lin
Gaurav Sharma
T. Pappas
DiffM
14
8
0
08 Mar 2022
StyleSwin: Transformer-based GAN for High-resolution Image Generation
StyleSwin: Transformer-based GAN for High-resolution Image Generation
Bo Zhang
Shuyang Gu
Bo Zhang
Jianmin Bao
Dong Chen
Fang Wen
Yong Wang
B. Guo
ViT
23
214
0
20 Dec 2021
LTT-GAN: Looking Through Turbulence by Inverting GANs
LTT-GAN: Looking Through Turbulence by Inverting GANs
Kangfu Mei
Vishal M. Patel
29
20
0
04 Dec 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
Jooyoung Choi
Sungwon Kim
Yonghyun Jeong
Youngjune Gwon
Sungroh Yoon
DiffM
8
690
0
06 Aug 2021
On Translation Invariance in CNNs: Convolutional Layers can Exploit
  Absolute Spatial Location
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
O. Kayhan
J. C. V. Gemert
192
231
0
16 Mar 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of
  Generative Models
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Sachit Menon
Alexandru Damian
Shijia Hu
Nikhil Ravi
Cynthia Rudin
OOD
DiffM
189
536
0
08 Mar 2020
How Much Position Information Do Convolutional Neural Networks Encode?
How Much Position Information Do Convolutional Neural Networks Encode?
Md. Amirul Islam
Sen Jia
Neil D. B. Bruce
SSL
194
343
0
22 Jan 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
262
10,183
0
12 Dec 2018
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