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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.CV2026

Debiasing Text-to-Image Evaluation via Implicit Cultural Alignment Reward Modeling

Bo-An Chang, Yu-Chih Chen

As Text-to-Image (T2I) systems rapidly advance, evaluating the cultural authenticity of synthesized content has become increasingly important for fair and trustworthy generative AI…

cs.CV2026

Bring Music The Horizon: Music-Driven 360 Video Generation

Kai Hsu Tsai, Yong Wei Fu, Hung I Yang +1

The paper presents an emotion-aware pipeline that converts a song into an immersive 360° video by estimating its emotional trajectory, generating emotion-guided keyframes, and synt…

cs.CV2026

InfVSR: Toward Consistency-Driven Streaming Generative Video Super-Resolution

Ziqing Zhang, Kai Liu, Zheng Chen +5

Real-world videos often extend over thousands of frames. Existing generative video super-resolution (VSR) approaches, however, face two persistent challenges when processing long s…

cs.CV2026

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion

Hau-Shiang Shiu, Chin-Yang Lin, Zhixiang Wang +4

Diffusion-based video super-resolution (VSR) methods deliver strong perceptual quality but are often unsuitable for latency-sensitive scenarios due to reliance on future frames and…

eess.IV2026

Learning Perceptual Representations for Gaming NR-VQA with Multi-Task FR Signals

Yu-Chih Chen, Michael Wang, Chieh-Dun Wen +4

No-reference video quality assessment (NR-VQA) for gaming videos is challenging due to limited human-rated datasets and unique content characteristics including fast motion, styliz…