72 citations · 119 across the 7 of their papers we have counts for
7 papers · 1 filter
Learned Dual-View Reflection Removal
Simon Niklaus, Xuaner Cecilia Zhang, Jonathan T. Barron +4
Traditional reflection removal algorithms either use a single image as input, which suffers from intrinsic ambiguities, or use multiple images from a moving camera, which is inconv…
Deep Homography Estimation for Dynamic Scenes
Hoang Le, Feng Liu, Shu Zhang +1
Homography estimation is an important step in many computer vision problems. Recently, deep neural network methods have shown to be favorable for this problem when compared to trad…
Softmax Splatting for Video Frame Interpolation
Simon Niklaus, Feng Liu
Differentiable image sampling in the form of backward warping has seen broad adoption in tasks like depth estimation and optical flow prediction. In contrast, how to perform forwar…
Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation
Qiqi Hou, Feng Liu
Natural image matting is an important problem in computer vision and graphics. It is an ill-posed problem when only an input image is available without any external information. Wh…
3D Ken Burns Effect from a Single Image
Simon Niklaus, Long Mai, Jimei Yang +1
The Ken Burns effect allows animating still images with a virtual camera scan and zoom. Adding parallax, which results in the 3D Ken Burns effect, enables significantly more compel…
Video Frame Interpolation via Adaptive Separable Convolution
Simon Niklaus, Long Mai, Feng Liu
Standard video frame interpolation methods first estimate optical flow between input frames and then synthesize an intermediate frame guided by motion. Recent approaches merge thes…
Video Frame Interpolation via Adaptive Convolution
Simon Niklaus, Long Mai, Feng Liu
Video frame interpolation typically involves two steps: motion estimation and pixel synthesis. Such a two-step approach heavily depends on the quality of motion estimation. This pa…