Search Results for author:
Found 7 papers, 3 papers with code
SE-ORNet: Self-Ensembling Orientation-aware Network for Unsupervised Point Cloud Shape Correspondence
The key of our approach is to exploit an orientation estimation module with a domain adaptive discriminator to align the orientations of point cloud pairs, which significantly alleviates the mispredictions of symmetrical parts.
Ranked #2 on
3D Dense Shape Correspondence
on SHREC'19
(using extra training data)
Video2StyleGAN: Encoding Video in Latent Space for Manipulation
To this end, we propose a novel network to encode face videos into the latent space of StyleGAN for semantic face video manipulation.
Memory-Augmented Non-Local Attention for Video Super-Resolution
Those methods achieve limited performance as they suffer from the challenge in spatial frame alignment and the lack of useful information from similar LR neighbor frames.
Ranked #7 on
Analog Video Restoration
on TAPE
Real-Time Selfie Video Stabilization
Our method is fully automatic and produces visually and quantitatively better results than previous real-time general video stabilization methods.
Learning Video Stabilization Using Optical Flow
We propose a novel neural network that infers the per-pixel warp fields for video stabilization from the optical flow fields of the input video.
Robust Video Stabilization by Optimization in CNN Weight Space
We propose a novel robust video stabilization method.
