44 citations · 71 across the 5 of their papers we have counts for
8 papers · 1 filter
Boosting Neural Representations for Videos with a Conditional Decoder
Xinjie Zhang, Ren Yang, Dailan He +5
Implicit neural representations (INRs) have emerged as a promising approach for video storage and processing, showing remarkable versatility across various video tasks. However, ex…
Advancing Learned Video Compression with In-loop Frame Prediction
Ren Yang, Radu Timofte, Luc Van Gool
Recent years have witnessed an increasing interest in end-to-end learned video compression. Most previous works explore temporal redundancy by detecting and compressing a motion ma…
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Dataset and Study
Ren Yang, Radu Timofte
This paper introduces a novel dataset for video enhancement and studies the state-of-the-art methods of the NTIRE 2021 challenge on quality enhancement of compressed video. The cha…
Learning to Improve Image Compression without Changing the Standard Decoder
Yannick Strümpler, Ren Yang, Radu Timofte
In recent years we have witnessed an increasing interest in applying Deep Neural Networks (DNNs) to improve the rate-distortion performance in image compression. However, the exist…
OpenDVC: An Open Source Implementation of the DVC Video Compression Method
Ren Yang, Luc Van Gool, Radu Timofte
We introduce an open source Tensorflow implementation of the Deep Video Compression (DVC) method in this technical report. DVC is the first end-to-end optimized learned video compr…
Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability Model
Ren Yang, Fabian Mentzer, Luc Van Gool +1
The past few years have witnessed increasing interests in applying deep learning to video compression. However, the existing approaches compress a video frame with only a few numbe…