MiniMax-Remover: Taming Bad Noise Helps Video Object Removal
Bojia Zi , Weixuan Peng , Xianbiao Qi † , Jianan Wang, Shihao Zhao, Rong Xiao, Kam-Fai Wong Equal contribution. † Corresponding author.
MiniMax-Remover is a fast and effective video object remover based on minimax optimization. It operates in two stages: the first stage trains a remover using a simplified DiT architecture, while the second stage distills a robust remover with CFG removal and fewer inference steps.
Fast: Requires only 6 inference steps and does not use CFG, making it highly efficient.
Effective: Seamlessly removes objects from videos and generates high-quality visual content.
Robust: Maintains robustness by preventing the regeneration of undesired objects or artifacts within the masked region, even under varying noise conditions.
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