224 citations · 275 across the 10 of their papers we have counts for
11 papers
A Spatiotemporal Semantic Importance-Guided Unified Compression and Editing Framework for AI-Generated Videos
Xihua Sheng, Dong Liu, Chang Wen Chen
AI-generated videos are rapidly increasing in volume, duration, and resolution, creating growing demands for efficient storage and transmission. Unlike natural videos captured from…
Recent Advances of End-to-End Video Coding Technologies for AVS Standard Development
Xihua Sheng, Xiongzhuang Liang, Chuanbo Tang +8
Video coding standards are essential to enable the interoperability and widespread adoption of efficient video compression technologies. In pursuit of greater video compression eff…
USTC-TD: A Test Dataset and Benchmark for Image and Video Coding in 2020s
Zhuoyuan Li, Junqi Liao, Chuanbo Tang +10
Image/video coding has been a remarkable research area for both academia and industry for many years. Testing datasets, especially high-quality image/video datasets are desirable f…
Bi-Directional Deep Contextual Video Compression
Xihua Sheng, Li Li, Dong Liu +1
Deep video compression has made remarkable process in recent years, with the majority of advancements concentrated on P-frame coding. Although efforts to enhance B-frame coding are…
NVC-1B: A Large Neural Video Coding Model
Xihua Sheng, Chuanbo Tang, Li Li +2
The emerging large models have achieved notable progress in the fields of natural language processing and computer vision. However, large models for neural video coding are still u…
Prediction and Reference Quality Adaptation for Learned Video Compression
Xihua Sheng, Li Li, Dong Liu +1
Temporal prediction is one of the most important technologies for video compression. Various prediction coding modes are designed in traditional video codecs. Traditional video cod…
Spatial Decomposition and Temporal Fusion based Inter Prediction for Learned Video Compression
Xihua Sheng, Li Li, Dong Liu +1
Video compression performance is closely related to the accuracy of inter prediction. It tends to be difficult to obtain accurate inter prediction for the local video regions with…
Offline and Online Optical Flow Enhancement for Deep Video Compression
Chuanbo Tang, Xihua Sheng, Zhuoyuan Li +3
Video compression relies heavily on exploiting the temporal redundancy between video frames, which is usually achieved by estimating and using the motion information. The motion in…
VNVC: A Versatile Neural Video Coding Framework for Efficient Human-Machine Vision
Xihua Sheng, Li Li, Dong Liu +1
Almost all digital videos are coded into compact representations before being transmitted. Such compact representations need to be decoded back to pixels before being displayed to…
Attribute Artifacts Removal for Geometry-based Point Cloud Compression
Xihua Sheng, Li Li, Dong Liu +1
Geometry-based point cloud compression (G-PCC) can achieve remarkable compression efficiency for point clouds. However, it still leads to serious attribute compression artifacts, e…
Temporal Context Mining for Learned Video Compression
Xihua Sheng, Jiahao Li, Bin Li +3
We address end-to-end learned video compression with a special focus on better learning and utilizing temporal contexts. For temporal context mining, we propose to store not only t…