CodeGoat24/WorldReward-Bench

WorldReward-Bench A human-annotated preference benchmark for camera-conditioned world models. 760 pairs of videos, each pair generated by two different models from the same source image and the same camera-action sequence, with human verdicts on three independent axes. 📰 Paper: https://arxiv.org/abs/2609.03952 🪐 Project Page: https://codegoat24.github.io/WorldReward 🤗 Model Collections: https://huggingface.co/CodeGoat24/WorldReward-9B 🚀 Github:… See the full description on the dataset page: https://huggingface.co/datasets/CodeGoat24/WorldReward-Bench.