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Found 9 papers, 5 papers with code
Self-supervised Motion Representation via Scattering Local Motion Cues
Motion representation is key to many computer vision problems but has never been well studied in the literature.
Enhanced Deep Animation Video Interpolation
With AutoFI and SktFI, the interpolated animation frames show high perceptual quality.
Prediction-assistant Frame Super-Resolution for Video Streaming
An effective approach is to transmit frames in lower-quality under poor bandwidth conditions, such as using scalable video coding.
Blurry Video Frame Interpolation
Existing works reduce motion blur and up-convert frame rate through two separate ways, including frame deblurring and frame interpolation.
Uniform Interpolation Constrained Geodesic Learning on Data Manifold
Based on this defined Riemannian metric, we introduce a constant speed loss and a minimizing geodesic loss to regularize the interpolation network to generate uniform interpolation along the learned geodesic on the manifold.
A Dual Camera System for High Spatiotemporal Resolution Video Acquisition
This paper presents a dual camera system for high spatiotemporal resolution (HSTR) video acquisition, where one camera shoots a video with high spatial resolution and low frame rate (HSR-LFR) and another one captures a low spatial resolution and high frame rate (LSR-HFR) video.
Depth-Aware Video Frame Interpolation
The proposed model then warps the input frames, depth maps, and contextual features based on the optical flow and local interpolation kernels for synthesizing the output frame.
Ranked #5 on
Video Frame Interpolation
on Middlebury
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement
Recently, a number of data-driven frame interpolation methods based on convolutional neural networks have been proposed.
Ranked #22 on
Video Frame Interpolation
on Vimeo90K
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Frame Interpolation and Enhancement
In this work, we propose a motion estimation and motion compensation driven neural network for video frame interpolation.
Ranked #6 on
Video Frame Interpolation
on Middlebury
