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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

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Showing 2025Show all

5 papers · 1 filter

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…