5 citations · 7 across the 8 of their papers we have counts for
9 papers
Evaluating Image Editing with LLMs: A Comprehensive Benchmark and Intermediate-Layer Probing Approach
Shiqi Gao, Zitong Xu, Kang Fu +3
Evaluating text-guided image editing (TIE) methods remains a challenging problem, as reliable assessment should simultaneously consider perceptual quality, alignment with textual i…
Enhancing Image Quality Assessment Ability of LMMs via Retrieval-Augmented Generation
Kang Fu, Huiyu Duan, Zicheng Zhang +5
Large Multimodal Models (LMMs) have recently shown remarkable promise in low-level visual perception tasks, particularly in Image Quality Assessment (IQA), demonstrating strong zer…
Data Assessment for Embodied Intelligence
Jiahao Xiao, Bowen Yan, Jianbo Zhang +4
In embodied intelligence, datasets play a pivotal role, serving as both a knowledge repository and a conduit for information transfer. The two most critical attributes of a dataset…
Information Density Principle for MLLM Benchmarks
Chunyi Li, Xiaozhe Li, Zicheng Zhang +8
With the emergence of Multimodal Large Language Models (MLLMs), hundreds of benchmarks have been developed to ensure the reliability of MLLMs in downstream tasks. However, the eval…
Multi-Dimensional Quality Assessment for Text-to-3D Assets: Dataset and Model
Kang Fu, Huiyu Duan, Zicheng Zhang +4
Recent advancements in text-to-image (T2I) generation have spurred the development of text-to-3D asset (T23DA) generation, leveraging pretrained 2D text-to-image diffusion models f…
Subjective and Objective Quality-of-Experience Evaluation Study for Live Video Streaming
Zehao Zhu, Wei Sun, Jun Jia +7
In recent years, live video streaming has gained widespread popularity across various social media platforms. Quality of experience (QoE), which reflects end-users' satisfaction an…
Quality-guided Skin Tone Enhancement for Portrait Photography
Shiqi Gao, Huiyu Duan, Xinyue Li +7
In recent years, learning-based color and tone enhancement methods for photos have become increasingly popular. However, most learning-based image enhancement methods just learn a…
AttentionLut: Attention Fusion-based Canonical Polyadic LUT for Real-time Image Enhancement
Kang Fu, Yicong Peng, Zicheng Zhang +4
Recently, many algorithms have employed image-adaptive lookup tables (LUTs) to achieve real-time image enhancement. Nonetheless, a prevailing trend among existing methods has been…
Masked Autoencoders as Image Processors
Huiyu Duan, Wei Shen, Xiongkuo Min +4
Transformers have shown significant effectiveness for various vision tasks including both high-level vision and low-level vision. Recently, masked autoencoders (MAE) for feature pr…