Dimin Niu — accepted AI-conference papers

2025

Frequency-Biased Synergistic Design for Image Compression and Compensation

Jiaming Liu, Qi Zheng, Zihao Liu, Yilian Zhong, Peiye Liu, Tao Liu +5

CVPR 2025poster

Compression artifacts removal (CAR), an effective post-processing method to reduce compression distortion in edge-side codecs, demonstrates remarkable results by utilizing convolutional neural networks (CNNs) on high computational power cloud side. Traditional image compression reduces redundancy in…

Cited by 0 Source ↗PDF ↗Scholar ↗

2024

Zero-Shot Structure-Preserving Diffusion Model for High Dynamic Range Tone Mapping

Ruoxi Zhu, Shusong Xu, Peiye Liu, Sicheng Li, Yanheng Lu, Dimin Niu +5

CVPR 2024highlight

Tone mapping techniques aiming to convert high dynamic range (HDR) images to high-quality low dynamic range (LDR) images for display play a more crucial role in real-world vision systems with the increasing application of HDR images. However obtaining paired HDR and high-quality LDR images is diffic…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗