166 citations · 631 across the 64 of their papers we have counts for
12 papers · 1 filter
DiffVC-OSD: One-Step Diffusion-based Perceptual Neural Video Compression Framework
Wenzhuo Ma, Zhenzhong Chen
In this work, we first propose DiffVC-OSD, a One-Step Diffusion-based Perceptual Neural Video Compression framework. Unlike conventional multi-step diffusion-based methods, DiffVC-…
Remote Sensing Semantic Segmentation Quality Assessment based on Vision Language Model
Huiying Shi, Zhihong Tan, Zhihan Zhang +4
The complexity of scenes and variations in image quality result in significant variability in the performance of semantic segmentation methods of remote sensing imagery (RSI) in su…
AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results
Maksim Smirnov, Aleksandr Gushchin, Anastasia Antsiferova +29
Video quality assessment (VQA) is a crucial task in the development of video compression standards, as it directly impacts the viewer experience. This paper presents the results of…
Joint Reference Frame Synthesis and Post Filter Enhancement for Versatile Video Coding
Weijie Bao, Yuantong Zhang, Jianghao Jia +2
This paper presents the joint reference frame synthesis (RFS) and post-processing filter enhancement (PFE) for Versatile Video Coding (VVC), aiming to explore the combination of di…
NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results
Xin Li, Kun Yuan, Yajing Pei +65
This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality Assessment (S-UGC VQA), where various excellent solutions are submitted and evaluated on the collected da…
Corner-to-Center Long-range Context Model for Efficient Learned Image Compression
Yang Sui, Ding Ding, Xiang Pan +4
In the framework of learned image compression, the context model plays a pivotal role in capturing the dependencies among latent representations. To reduce the decoding time result…
Dynamic Kernel-Based Adaptive Spatial Aggregation for Learned Image Compression
Huairui Wang, Nianxiang Fu, Zhenzhong Chen +1
Learned image compression methods have shown superior rate-distortion performance and remarkable potential compared to traditional compression methods. Most existing learned approa…
JPEG Quantized Coefficient Recovery via DCT Domain Spatial-Frequential Transformer
Mingyu Ouyang, Zhenzhong Chen
JPEG compression adopts the quantization of Discrete Cosine Transform (DCT) coefficients for effective bit-rate reduction, whilst the quantization could lead to a significant loss…
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report
Andrey Ignatov, Radu Timofte, Maurizio Denna +93
Image super-resolution is a common task on mobile and IoT devices, where one often needs to upscale and enhance low-resolution images and video frames. While numerous solutions hav…
Exploring Long- and Short-Range Temporal Information for Learned Video Compression
Huairui Wang, Zhenzhong Chen
Learned video compression methods have gained a variety of interest in the video coding community since they have matched or even exceeded the rate-distortion (RD) performance of t…
Learned Video Compression via Heterogeneous Deformable Compensation Network
Huairui Wang, Zhenzhong Chen, Chang Wen Chen
Learned video compression has recently emerged as an essential research topic in developing advanced video compression technologies, where motion compensation is considered one of…
Assessing Visual Quality of Omnidirectional Videos
Mai Xu, Chen Li, Zulin Wang +2
In contrast with traditional video, omnidirectional video enables spherical viewing direction with support for head-mounted displays, providing an interactive and immersive experie…