37 citations · 41 across the 25 of their papers we have counts for
27 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…
An FPGA Implementation of Displacement Vector Search for Intra Pattern Copy in JPEG XS
Qiyue Chen, Yao Li, Jie Tao +3
Recently, progress has been made on the Intra Pattern Copy (IPC) tool for JPEG XS, an image compression standard designed for low-latency and low-complexity coding. IPC performs wa…
HPC: Hierarchical Point-based Latent Representation for Streaming Dynamic Gaussian Splatting Compression
Yangzhi Ma, Bojun Liu, Wenting Liao +3
While dynamic Gaussian Splatting has driven significant advances in free-viewpoint video, maintaining its rendering quality with a small memory footprint for efficient streaming tr…
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…
Hash Grid Feature Pruning
Yangzhi Ma, Bojun Liu, Jie Li +2
Hash grids are widely used to learn an implicit neural field for Gaussian splatting, serving either as part of the entropy model or for inter-frame prediction. However, due to the…
Real-Time Neural Video Compression with Unified Intra and Inter Coding
Hui Xiang, Yifan Bian, Li Li +3
Neural video compression (NVC) technologies have advanced rapidly in recent years, yielding state-of-the-art schemes such as DCVC-RT that offer superior compression efficiency to H…
In-Loop Filtering Using Learned Look-Up Tables for Video Coding
Zhuoyuan Li, Jiacheng Li, Yao Li +4
In-loop filtering (ILF) is a key technology in video coding standards to reduce artifacts and enhance visual quality. Recently, neural network-based ILF schemes have achieved remar…
EHVC: Efficient Hierarchical Reference and Quality Structure for Neural Video Coding
Junqi Liao, Yaojun Wu, Chaoyi Lin +4
Neural video codecs (NVCs), leveraging the power of end-to-end learning, have demonstrated remarkable coding efficiency improvements over traditional video codecs. Recent research…
Scaling Learned Image Compression Models up to 1 Billion
Yuqi Li, Haotian Zhang, Li Li +2
Recent advances in large language models (LLMs) highlight a strong connection between intelligence and compression. Learned image compression, a fundamental task in modern data com…
Learned Image Compression with Hierarchical Progressive Context Modeling
Yuqi Li, Haotian Zhang, Li Li +1
Context modeling is essential in learned image compression for accurately estimating the distribution of latents. While recent advanced methods have expanded context modeling capac…
StableCodec: Taming One-Step Diffusion for Extreme Image Compression
Tianyu Zhang, Xin Luo, Li Li +1
Diffusion-based image compression has shown remarkable potential for achieving ultra-low bitrate coding (less than 0.05 bits per pixel) with high realism, by leveraging the generat…
Neural Video Compression with Context Modulation
Chuanbo Tang, Zhuoyuan Li, Yifan Bian +2
Efficient video coding is highly dependent on exploiting the temporal redundancy, which is usually achieved by extracting and leveraging the temporal context in the emerging condit…
Augmented Deep Contexts for Spatially Embedded Video Coding
Yifan Bian, Chuanbo Tang, Li Li +1
Most Neural Video Codecs (NVCs) only employ temporal references to generate temporal-only contexts and latent prior. These temporal-only NVCs fail to handle large motions or emergi…
Partition Map-Based Fast Block Partitioning for VVC Inter Coding
Xinmin Feng, Zhuoyuan Li, Li Li +2
Among the new techniques of Versatile Video Coding (VVC), the quadtree with nested multi-type tree (QT+MTT) block structure yields significant coding gains by providing more flexib…
Voxel-based Point Cloud Geometry Compression with Space-to-Channel Context
Bojun Liu, Yangzhi Ma, Ao Luo +2
Voxel-based methods are among the most efficient for point cloud geometry compression, particularly with dense point clouds. However, they face limitations due to a restricted rece…
Sparse Point Clouds Assisted Learned Image Compression
Yiheng Jiang, Haotian Zhang, Li Li +2
In the field of autonomous driving, a variety of sensor data types exist, each representing different modalities of the same scene. Therefore, it is feasible to utilize data from o…
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…
Uniformly Accelerated Motion Model for Inter Prediction
Zhuoyuan Li, Yao Li, Chuanbo Tang +3
Inter prediction is a key technology to reduce the temporal redundancy in video coding. In natural videos, there are usually multiple moving objects with variable velocity, resulti…
In-Loop Filtering via Trained Look-Up Tables
Zhuoyuan Li, Jiacheng Li, Yao Li +3
In-loop filtering (ILF) is a key technology for removing the artifacts in image/video coding standards. Recently, neural network-based in-loop filtering methods achieve remarkable…
IVCA: Inter-Relation-Aware Video Complexity Analyzer
Junqi Liao, Yao Li, Zhuoyuan Li +2
To address the real-time analysis requirements of video streaming applications, we propose an innovative inter-relation-aware video complexity analyzer (IVCA) to enhance the existi…
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…
DMOFC: Discrimination Metric-Optimized Feature Compression
Changsheng Gao, Yiheng Jiang, Li Li +2
Feature compression, as an important branch of video coding for machines (VCM), has attracted significant attention and exploration. However, the existing methods mainly focus on i…