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Author

Si-Jing Wu

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Aug 2026

FMReward: Aligning and Evaluating Audio-Driven 3D Facial Animation with Human Preferences.

Audio-driven 3D facial animation is essential for advancing immersion and interactivity in virtual experiences. Although recent advances have shown promising capabilities, the training and evaluation of existing methods typically rely on ground-truth-based errors, which fall short of aligning with human preferences. To...

Si-Jing Wu, Yunhao Li, Zhilin Gao et al. · 1 citation
Jul 2026

Multi-Dimensional Quality Assessment for AI-Generated Human-Centric Videos: Dataset and Model

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. · 4 citations
Preprint Aug 2026

CamWorldQA: Perceptual Quality Assessment of Camera-Controlled World Video Generation

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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