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  1. 1

    OmniVBench: A Benchmark and Large-Scale Dataset for Omni Reference-to-Video Generation

    OmniVBench is a new benchmark and the Omni‑R2V Dataset, offering 7 task families, 18 fine‑grained reference‑to‑video generation tasks and a factor‑grounded evaluation checklist of over 12 k items. The dataset provides 340 k industrial‑grade video samples and pipelines for constructing reference‑target pairs, exposing large performance gaps in current R2V models.

    Hugging Face Daily Papersarxiv.org2 minpaper
  2. 2

    EventEgoHands++: Event-based Egocentric 3D Hand Mesh Reconstruction with Real Dataset

    EventEgoHands++ adds an instance‑aware hand detector and an Adaptive Attention module to event‑camera egocentric hand‑mesh reconstruction, distinguishing left/right hands and modeling their interaction. The authors also release EEH‑R, a ~1 M‑frame real dataset, and report consistent gains over prior baselines on synthetic and real tests.

    Hugging Face Daily Papersarxiv.org1 minpaper