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cs.CV2026

VGA-BenchV2: An Expanded Unified Benchmark and Multi-Model Framework for Evaluating Video Aesthetics and Generation Quality

Longteng Jiang, DanDan Zheng, Qianqian Qiao +7

We introduce VGA-BenchV2, an extended human-aligned benchmark and optimization framework for jointly evaluating and improving video generation quality and aesthetic value. Built up…

cs.CV2026

From Articulated Kinematics to Routed Visual Control for Action-Conditioned Surgical Video Generation

Bohan Li, Shuojue Yang, Baorui Peng +10

Action-conditioned surgical video generation is a critical yet highly challenging problem for robotic surgery. The core difficulty is that low-dimensional control vectors must prec…

cs.CV2026

VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation

Longteng Jiang, DanDan Zheng, Qianqian Qiao +7

The rapid advancement of AIGC-based video generation has underscored the critical need for comprehensive evaluation frameworks that go beyond traditional generation quality metrics…

cs.CV2025

VADB: A Large-Scale Video Aesthetic Database with Professional and Multi-Dimensional Annotations

Qianqian Qiao, DanDan Zheng, Yihang Bo +7

Video aesthetic assessment, a vital area in multimedia computing, integrates computer vision with human cognition. Its progress is limited by the lack of standardized datasets and…

cs.CV2025

OmniNWM: Omniscient Driving Navigation World Models

Bohan Li, Zhuang Ma, Dalong Du +10

Autonomous driving world models are expected to work effectively across three core dimensions: state, action, and reward. However, existing methods are typically restricted to frag…