1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2023
S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces
Haoyu Wu, Alexandros Graikos, Dimitris Samaras
Neural rendering of implicit surfaces performs well in 3D vision applications. However, it requires dense input views as supervision. When only sparse input images are available, o…
cs.CV2020★ 1 cited
Disentangle Perceptual Learning through Online Contrastive Learning
Kangfu Mei, Yao Lu, Qiaosi Yi +3
Pursuing realistic results according to human visual perception is the central concern in the image transformation tasks. Perceptual learning approaches like perceptual loss are em…
eess.IV2019
HighEr-Resolution Network for Image Demosaicing and Enhancing
Kangfu Mei, Juncheng Li, Jiajie Zhang +3
Neural-networks based image restoration methods tend to use low-resolution image patches for training. Although higher-resolution image patches can provide more global information,…