New Datasets for Object Tracking

8 November 2018

New Datasets for Object Tracking

Object tracking in the wild is far from being solved. Existing object trackers do quite a good job on the established datasets (e.g., VOT, OTB), but these datasets are relatively…

3D Hair Reconstruction Out of In-the-Wild Videos

22 October 2018
hair reconstruction from video

3D Hair Reconstruction Out of In-the-Wild Videos

3D hair reconstruction is a problem with numerous applications in different areas such as Virtual Reality, Augmented Reality, video games, medical software, etc. As a non-trivial problem, researchers have proposed…

Vid2Vid – Conditional GANs for Video-to-Video Synthesis

3 September 2018
vid2vid-video-to-video-synthesis-e1535641547242

Vid2Vid – Conditional GANs for Video-to-Video Synthesis

Researchers from NVIDIA and MIT’s Computer Science and Artificial Intelligence Lab have proposed a novel method for video-to-video synthesis, showing impressive results. The proposed method – Vid2Vid – can synthesize…

Everybody Dance Now: a New Approach to “Do As I Do” Motion Transfer

30 August 2018
everybody dance now

Everybody Dance Now: a New Approach to “Do As I Do” Motion Transfer

Not very good at dancing? Not a problem anymore! Now you can easily impress your friends with a stunning video, where you dance like a superstar. Researchers from UC Berkeley…

Real-time Video Style Transfer: Fast, Accurate and Temporally Consistent

25 July 2018
video style transfer

Real-time Video Style Transfer: Fast, Accurate and Temporally Consistent

Developers all over the world deploy convolutional neural networks for recomposing images with the style of other pictures or simply image style transfer. After existing methods achieved high enough processing…