7 citations · 10 across the 25 of their papers we have counts for
9 papers · 1 filter
DHQA-4D: Perceptual Quality Assessment of Dynamic 4D Digital Human
Yunhao Li, Sijing Wu, Yucheng Zhu +3
With the rapid development of 3D scanning and reconstruction technologies, dynamic digital human avatars based on 4D meshes have become increasingly popular. A high-precision dynam…
ODI-Bench: Can MLLMs Understand Immersive Omnidirectional Environments?
Liu Yang, Huiyu Duan, Ran Tao +6
Omnidirectional images (ODIs) provide full 360x180 view which are widely adopted in VR, AR and embodied intelligence applications. While multi-modal large language models (MLLMs) h…
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…
Ges-QA: A Multidimensional Quality Assessment Dataset for Audio-to-3D Gesture Generation
Zhilin Gao, Yunhao Li, Sijing Wu +3
The Audio-to-3D-Gesture (A2G) task has enormous potential for various applications in virtual reality and computer graphics, etc. However, current evaluation metrics, such as Fréch…
RGC-VQA: An Exploration Database for Robotic-Generated Video Quality Assessment
Jianing Jin, Jiangyong Ying, Huiyu Duan +6
As camera-equipped robotic platforms become increasingly integrated into daily life, robotic-generated videos have begun to appear on streaming media platforms, enabling us to envi…
AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images
Yunhao Li, Sijing Wu, Wei Sun +6
The rapid development of text-to-image (T2I) generation approaches has attracted extensive interest in evaluating the quality of generated images, leading to the development of var…
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…
FVQ: A Large-Scale Dataset and an LMM-based Method for Face Video Quality Assessment
Sijing Wu, Yunhao Li, Ziwen Xu +4
Face video quality assessment (FVQA) deserves to be explored in addition to general video quality assessment (VQA), as face videos are the primary content on social media platforms…
Disentangled Clothed Avatar Generation with Layered Representation
Weitian Zhang, Yichao Yan, Sijing Wu +2
Clothed avatar generation has wide applications in virtual and augmented reality, filmmaking, and more. Previous methods have achieved success in generating diverse digital avatars…