activity
20232026
most citedLMME3DHF: Benchmarking and Evaluating Multimodal 3D Human Face Generation with LMMs

7 citations · 9 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV2026

LoViF 2026 The First Challenge on Holistic Quality Assessment for 4D World Model (PhyScore)

Wei Luo, Yiting Lu, Xin Li +32

This paper reports on the LoViF 2026 PhyScore challenge, a competition on holistic quality assessment of world-model-generated videos across both 2D and 4D generation settings. The…

cs.CV2026

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…

cs.CV2026

Preference-Guided Debiasing for No-Reference Enhancement Image Quality Assessment

Shiqi Gao, Kang Fu, Zitong Xu +4

Current no-reference image quality assessment (NR-IQA) models for enhanced images often struggle to generalize, as they tend to overfit to the distinct patterns of specific enhance…

cs.CV2026

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…

cs.CV2025

Exploring Instruction Data Quality for Explainable Image Quality Assessment

Yunhao Li, Sijing Wu, Jun Jia +5

In recent years, with the rapid development of large multimodal models (LMMs), explainable image quality assessment (IQA) has attracted increasing attention, aiming to understand t…

eess.IV2025

CompressedVQA-HDR: Generalized Full-reference and No-reference Quality Assessment Models for Compressed High Dynamic Range Videos

Wei Sun, Linhan Cao, Kang Fu +5

Video compression is a standard procedure applied to all videos to minimize storage and transmission demands while preserving visual quality as much as possible. Therefore, evaluat…

eess.IV2025

ICME 2025 Generalizable HDR and SDR Video Quality Measurement Grand Challenge

Yixu Chen, Bowen Chen, Hai Wei +16

This paper reports IEEE International Conference on Multimedia \& Expo (ICME) 2025 Grand Challenge on Generalizable HDR and SDR Video Quality Measurement. With the rapid developmen…

cs.CV2025★ 7 cited

LMME3DHF: Benchmarking and Evaluating Multimodal 3D Human Face Generation with LMMs

Woo Yi Yang, Jiarui Wang, Sijing Wu +6

The rapid advancement in generative artificial intelligence have enabled the creation of 3D human faces (HFs) for applications including media production, virtual reality, security…

cs.CV2025

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…

cs.CV2024★ 2 cited

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…

cs.CV2024

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…

eess.IV2023

RAWIW: RAW Image Watermarking Robust to ISP Pipeline

Kang Fu, Xiaohong Liu, Jun Jia +4

Invisible image watermarking is essential for image copyright protection. Compared to RGB images, RAW format images use a higher dynamic range to capture the radiometric characteri…