3D computer graphics (3DCG) (including geometric modeling, texture generation, etc.) plays a vital role in constructing immersive experience, acting as the fundamental building block for immersive 3D virtual worlds. With the rapid advancement of artificial intelligence (AI), numerous AI-generated content (AIGC) technol...
Yu Wang, Yuxuan Zhang, Xiao-Tian Liu et al.· IEEE Open Journal on Immersi...· 0 citations
A comprehensive framework that learns an automatic perceptual model from human preference data and leverages it to improve and evaluate the perceptual quality of audio-driven 3D facial animation and introduces Facial Motion reward Feedback Learning (FMFL), a direct fine-tuning algorithm that leverages a pretrained rewa...
Si-Jing Wu, Yun-Hao Li, Zhi-Lin Gao et al.· IEEE Transactions on Visuali...· 2 citations
This work extends the previous dataset HVEval with pairwise preference annotations and proposes MoE-Rater, a Mixture-of-Experts (MoE)-inspired and multimodal large language model (MLLM)-based all-in-one method that supports multi-dimensional quality rating, multi-dimensional pairwise comparison, and category-specific q...
Si-Jing Wu, Yun-Hao Li, Hui-Yu Duan et al.· IEEE transactions on circuit...· 4 citations
Recent advances in generative video models have enabled camera-controlled world video generation, allowing models to synthesize videos under user-defined camera trajectories. However, existing video quality assessment (VQA) methods are mainly developed for natural videos and fail to capture the unique perceptual charac...
Yunhe Li, Likun Wu, Sijing Wu et al.· 0 citations
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