✨EffectErase: Joint Video Object Removal and Insertion for High-Quality Effect Erasing
📝 Summary:
EffectErase is a new video object removal method that effectively erases dynamic objects and their visual effects. It introduces VOR, a large dataset for training, and uses reciprocal learning with task-aware guidance for high-quality results.
🔹 Publication Date: Published on Mar 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.19224
• PDF: https://arxiv.org/pdf/2603.19224
• Project Page: https://henghuiding.com/EffectErase/
• Github: https://github.com/FudanCVL/EffectErase
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For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#VideoEditing #ComputerVision #ObjectRemoval #DeepLearning #AI
📝 Summary:
EffectErase is a new video object removal method that effectively erases dynamic objects and their visual effects. It introduces VOR, a large dataset for training, and uses reciprocal learning with task-aware guidance for high-quality results.
🔹 Publication Date: Published on Mar 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.19224
• PDF: https://arxiv.org/pdf/2603.19224
• Project Page: https://henghuiding.com/EffectErase/
• Github: https://github.com/FudanCVL/EffectErase
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#VideoEditing #ComputerVision #ObjectRemoval #DeepLearning #AI