3 papers
cs.CV2019
HyperCon: Image-To-Video Model Transfer for Video-To-Video Translation Tasks
Ryan Szeto, Mostafa El-Khamy, Jungwon Lee +1
Video-to-video translation is more difficult than image-to-image translation due to the temporal consistency problem that, if unaddressed, leads to distracting flickering effects.…
cs.CV2018
A Dataset To Evaluate The Representations Learned By Video Prediction Models
Ryan Szeto, Simon Stent, German Ros +1
We present a parameterized synthetic dataset called Moving Symbols to support the objective study of video prediction networks. Using several instantiations of the dataset in which…
cs.CV2018
A Temporally-Aware Interpolation Network for Video Frame Inpainting
Ximeng Sun, Ryan Szeto, Jason J. Corso
We propose the first deep learning solution to video frame inpainting, a challenging instance of the general video inpainting problem with applications in video editing, manipulati…