1 code implementation • 18 Dec 2023 • Ruian He, Shili Zhou, Yuqi Sun, Ri Cheng, Weimin Tan, Bo Yan
With the rise of real-time rendering and the evolution of display devices, there is a growing demand for post-processing methods that offer high-resolution content in a high frame rate.
no code implementations • 12 Dec 2023 • Ri Cheng, Ruian He, Xuhao Jiang, Shili Zhou, Weimin Tan, Bo Yan
In this paper, we develop a Context-Aware Iteration Policy Network for efficient optical flow estimation, which determines the optimal number of iterations per sample.
no code implementations • 3 Aug 2023 • Shili Zhou, Xuhao Jiang, Weimin Tan, Ruian He, Bo Yan
Motion vectors, one of the compression information, record the motion of the video frames.
no code implementations • 31 Jul 2023 • Shili Zhou, Ruian He, Weimin Tan, Bo Yan
Optical Flow Estimation aims to find the 2D dense motion field between two frames.
no code implementations • 31 Jul 2023 • Ri Cheng, Xuhao Jiang, Ruian He, Shili Zhou, Weimin Tan, Bo Yan
We can use dynamic spatial pruning method to skip redundant computation, but this method cannot properly identify easy regions in VFI tasks without supervision.
no code implementations • 15 Jul 2022 • Xuhao Jiang, Weimin Tan, Ri Cheng, Shili Zhou, Bo Yan
Under stereo settings, the performance of image JPEG artifacts removal can be further improved by exploiting the additional information provided by a second view.
no code implementations • CVPR 2022 • Yuqi Sun, Shili Zhou, Ri Cheng, Weimin Tan, Bo Yan, Lang Fu
Specifically, GR stage takes sparse depth map and RGB as input to predict dense depth map by exploiting the correlation between two modals.