High Frequency Matters: Uncertainty Guided Image Compression with Wavelet Diffusion

17 July 2024

Papers citing "High Frequency Matters: Uncertainty Guided Image Compression with Wavelet Diffusion"

6 / 6 papers shown

Title
FIPER: Generalizable Factorized Features for Robust Low-Level Vision Models Yang-Che Sun Cheng Yu Yeo Ernie Chu Jun-Cheng Chen Yu-Lun Liu SupR 28 0 0 23 Oct 2024
ResDiff: Combining CNN and Diffusion Model for Image Super-Resolution Shuyao Shang Zhengyang Shan Guangxing Liu LunQian Wang XingHua Wang Zekai Zhang Jingling Zhang DiffM 42 82 0 15 Mar 2023
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 203 1,330 0 24 Jan 2022
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 325 1,570 0 10 Nov 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 420 15,438 0 02 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015