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This repository contains the implementation of the paper "MJ-VIDEO: Fine-Grained Benchmarking and Rewarding Video Preferences in Video Generation".
Paper: https://arxiv.org/abs/2502.01719 Code: https://github.com/aiming-lab/MJ-Video Project Page: https://aiming-lab.github.io/MJ-VIDEO.github.io/
This repository contains the implementation of the paper "MJ-VIDEO: Fine-Grained Benchmarking and Rewarding Video Preferences in Video Generation". We create a fine-grained video preference dataset MJ-BENCH-VIDEO and a MoE-structured video reward model MJ-VIDEO.
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