The recent wave of AI-generated content (AIGC) has witnessed substantial success in
computer vision, with the diffusion model playing a crucial role in this achievement. Due to …

Despite significant progress in generative AI, comprehensive evaluation remains
challenging because of the lack of effective metrics and standardized benchmarks. For …

General world models represent a crucial pathway toward achieving Artificial General
Intelligence (AGI), serving as the cornerstone for various applications ranging from virtual …

The recent years have witnessed great advances in video generation. However, the
development of automatic video metrics is lagging significantly behind. None of the existing …

We propose a novel text-to-video (T2V) generation benchmark, ChronoMagic-Bench, to
evaluate the temporal and metamorphic capabilities of the T2V models (eg Sora and …

While text-to-visual models now produce photo-realistic images and videos they struggle
with compositional text prompts involving attributes relationships and higher-order …

With the rapid development of generative models, AI-Generated Content (AIGC) has
exponentially increased in daily lives. Among them, Text-to-Video (T2V) generation has …

The rapid advancement of visual generative models necessitates efficient and reliable
evaluation methods. Arena platform, which gathers user votes on model comparisons, can …

World models can foresee the outcomes of different actions, which is of paramount
importance for autonomous driving. Nevertheless, existing driving world models still have …

While recent foundational video generators produce visually rich output, they still struggle
with appearance drift, where objects gradually degrade or change inconsistently across …