2 citations · 2 across the 11 of their papers we have counts for
5 papers · 1 filter
RDEIC: Accelerating Diffusion-Based Extreme Image Compression with Relay Residual Diffusion
Zhiyuan Li, Yanhui Zhou, Hao Wei +2
Diffusion-based extreme image compression methods have achieved impressive performance at extremely low bitrates. However, constrained by the iterative denoising process that start…
RGB Guided ToF Imaging System: A Survey of Deep Learning-based Methods
Xin Qiao, Matteo Poggi, Pengchao Deng +3
Integrating an RGB camera into a ToF imaging system has become a significant technique for perceiving the real world. The RGB guided ToF imaging system is crucial to several applic…
Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey
Marcos V. Conde, Zhijun Lei, Wen Li +72
This paper introduces a novel benchmark as part of the AIS 2024 Real-Time Image Super-Resolution (RTSR) Challenge, which aims to upscale compressed images from 540p to 4K resolutio…
Towards Extreme Image Compression with Latent Feature Guidance and Diffusion Prior
Zhiyuan Li, Yanhui Zhou, Hao Wei +2
Image compression at extremely low bitrates (below 0.1 bits per pixel (bpp)) is a significant challenge due to substantial information loss. In this work, we propose a novel two-st…
Traditional Transformation Theory Guided Model for Learned Image Compression
Zhiyuan Li, Chenyang Ge, Shun Li
Recently, many deep image compression methods have been proposed and achieved remarkable performance. However, these methods are dedicated to optimizing the compression performance…