3 citations · 4 across the 11 of their papers we have counts for
7 papers · 1 filter
Hybrid-LUT: Channel-Aware Hybrid Lookup Table and Filtering for Efficient Image Denoising
Zhilin Ai, Boyu Li, Sidi Yang +5
Lookup table (LUT)-based image denoising methods have attracted increasing attention due to their high efficiency and hardware-friendly properties. However, existing RGB-LUT approa…
DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup Tables
Sidi Yang, Binxiao Huang, Yulun Zhang +3
While deep neural networks have revolutionized image denoising capabilities, their deployment on edge devices remains challenging due to substantial computational and memory requir…
IDA-VLM: Towards Movie Understanding via ID-Aware Large Vision-Language Model
Yatai Ji, Shilong Zhang, Jie Wu +6
The rapid advancement of Large Vision-Language models (LVLMs) has demonstrated a spectrum of emergent capabilities. Nevertheless, current models only focus on the visual content of…
Rolling Shutter Correction with Intermediate Distortion Flow Estimation
Mingdeng Cao, Sidi Yang, Yujiu Yang +1
This paper proposes to correct the rolling shutter (RS) distorted images by estimating the distortion flow from the global shutter (GS) to RS directly. Existing methods usually per…
Taming Lookup Tables for Efficient Image Retouching
Sidi Yang, Binxiao Huang, Mingdeng Cao +4
The widespread use of high-definition screens in edge devices, such as end-user cameras, smartphones, and televisions, is spurring a significant demand for image enhancement. Exist…
Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network
Shanshan Lao, Yuan Gong, Shuwei Shi +5
Image quality assessment (IQA) algorithm aims to quantify the human perception of image quality. Unfortunately, there is a performance drop when assessing the distortion images gen…
MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment
Sidi Yang, Tianhe Wu, Shuwei Shi +5
No-Reference Image Quality Assessment (NR-IQA) aims to assess the perceptual quality of images in accordance with human subjective perception. Unfortunately, existing NR-IQA method…