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Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of
  Experts And Frequency-augmented Decoder Approach

Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach

18 October 2023
Feng Luo
Jin-Peng Xiang
Jun Zhang
Xiao Han
Wei Yang
    DiffM
ArXivPDFHTML

Papers citing "Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach"

4 / 4 papers shown
Title
Towards Enhanced Image Inpainting: Mitigating Unwanted Object Insertion and Preserving Color Consistency
Towards Enhanced Image Inpainting: Mitigating Unwanted Object Insertion and Preserving Color Consistency
Yikai Wang
Chenjie Cao
Yanwei Fu
Ke Fan
Xiangyang Xue
Yanwei Fu
DiffM
53
2
0
08 Dec 2023
Catch Missing Details: Image Reconstruction with Frequency Augmented
  Variational Autoencoder
Catch Missing Details: Image Reconstruction with Frequency Augmented Variational Autoencoder
Xinmiao Lin
Yikang Li
Jenhao Hsiao
C. Ho
Yu Kong
87
17
0
04 May 2023
Denoising Diffusion Restoration Models
Denoising Diffusion Restoration Models
Bahjat Kawar
Michael Elad
Stefano Ermon
Jiaming Song
DiffM
215
787
0
27 Jan 2022
MUSIQ: Multi-scale Image Quality Transformer
MUSIQ: Multi-scale Image Quality Transformer
Junjie Ke
Qifei Wang
Yilin Wang
P. Milanfar
Feng Yang
174
628
0
12 Aug 2021
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