2 citations · 5 across the 4 of their papers we have counts for
5 papers
WaveDM: Wavelet-Based Diffusion Models for Image Restoration
Yi Huang, Jiancheng Huang, Jianzhuang Liu +5
Latest diffusion-based methods for many image restoration tasks outperform traditional models, but they encounter the long-time inference problem. To tackle it, this paper proposes…
Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning
Zhuoyang Zhang, Yuhao Dong, Yunze Liu +1
Recent work on 4D point cloud sequences has attracted a lot of attention. However, obtaining exhaustively labeled 4D datasets is often very expensive and laborious, so it is especi…
New Perspective on Progressive GANs Distillation for One-class Novelty Detection
Zhiwei Zhang, Yu Dong, Hanyu Peng +1
One-class novelty detection is conducted to identify anomalous instances, with different distributions from the expected normal instances. In this paper, the Generative Adversarial…
NTIRE 2020 Challenge on NonHomogeneous Dehazing
Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu +49
This paper reviews the NTIRE 2020 Challenge on NonHomogeneous Dehazing of images (restoration of rich details in hazy image). We focus on the proposed solutions and their results e…
FD-GAN: Generative Adversarial Networks with Fusion-discriminator for Single Image Dehazing
Yu Dong, Yihao Liu, He Zhang +2
Recently, convolutional neural networks (CNNs) have achieved great improvements in single image dehazing and attained much attention in research. Most existing learning-based dehaz…