2 citations · 8 across the 29 of their papers we have counts for
10 papers · 1 filter
UniMIC: Towards Universal Multi-modality Perceptual Image Compression
Yixin Gao, Xin Li, Xiaohan Pan +5
We present UniMIC, a universal multi-modality image compression framework, intending to unify the rate-distortion-perception (RDP) optimization for multiple image codecs simultaneo…
LossAgent: Towards Any Optimization Objectives for Image Processing with LLM Agents
Bingchen Li, Xin Li, Yiting Lu +1
We present the first loss agent, dubbed LossAgent, for low-level image processing tasks, e.g., image super-resolution and restoration, intending to achieve any customized optimizat…
Get Large Language Models Ready to Speak: A Late-fusion Approach for Speech Generation
Maohao Shen, Shun Zhang, Jilong Wu +5
Large language models (LLMs) have revolutionized natural language processing (NLP) with impressive performance across various text-based tasks. However, the extension of text-domin…
Priorformer: A UGC-VQA Method with content and distortion priors
Yajing Pei, Shiyu Huang, Yiting Lu +2
User Generated Content (UGC) videos are susceptible to complicated and variant degradations and contents, which prevents the existing blind video quality assessment (BVQA) models f…
QMamba: On First Exploration of Vision Mamba for Image Quality Assessment
Fengbin Guan, Xin Li, Zihao Yu +2
In this work, we take the first exploration of the recently popular foundation model, i.e., State Space Model/Mamba, in image quality assessment (IQA), aiming at observing and exca…
PromptCIR: Blind Compressed Image Restoration with Prompt Learning
Bingchen Li, Xin Li, Yiting Lu +5
Blind Compressed Image Restoration (CIR) has garnered significant attention due to its practical applications. It aims to mitigate compression artifacts caused by unknown quality f…
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…
VisualCritic: Making LMMs Perceive Visual Quality Like Humans
Zhipeng Huang, Zhizheng Zhang, Yiting Lu +3
At present, large multimodal models (LMMs) have exhibited impressive generalization capabilities in understanding and generating visual signals. However, they currently still lack…
KVQ: Kwai Video Quality Assessment for Short-form Videos
Yiting Lu, Xin Li, Yajing Pei +6
Short-form UGC video platforms, like Kwai and TikTok, have been an emerging and irreplaceable mainstream media form, thriving on user-friendly engagement, and kaleidoscope creation…
Video Quality Assessment Based on Swin TransformerV2 and Coarse to Fine Strategy
Zihao Yu, Fengbin Guan, Yiting Lu +2
The objective of non-reference video quality assessment is to evaluate the quality of distorted video without access to reference high-definition references. In this study, we intr…