29 citations · 40 across the 5 of their papers we have counts for
5 papers · 1 filter
EFANet: Exchangeable Feature Alignment Network for Arbitrary Style Transfer
Zhijie Wu, Chunjin Song, Yang Zhou +2
Style transfer has been an important topic both in computer vision and graphics. Since the seminal work of Gatys et al. first demonstrates the power of stylization through optimiza…
Multi-scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets
Mingjie Wang, Jun Zhou, Wendong Mao +1
Recently, Convolution Neural Networks (CNNs) obtained huge success in numerous vision tasks. In particular, DenseNets have demonstrated that feature reuse via dense skip connection…
Semi-dense Stereo Matching using Dual CNNs
Wendong Mao, Mingjie Wang, Jun Zhou +1
A robust solution for semi-dense stereo matching is presented. It utilizes two CNN models for computing stereo matching cost and performing confidence-based filtering, respectively…
Full 3D Reconstruction of Transparent Objects
Bojian Wu, Yang Zhou, Yiming Qian +2
Numerous techniques have been proposed for reconstructing 3D models for opaque objects in past decades. However, none of them can be directly applied to transparent objects. This p…
BSD-GAN: Branched Generative Adversarial Network for Scale-Disentangled Representation Learning and Image Synthesis
Zili Yi, Zhiqin Chen, Hao Cai +3
We introduce BSD-GAN, a novel multi-branch and scale-disentangled training method which enables unconditional Generative Adversarial Networks (GANs) to learn image representations…