Motion Attribution for Video Generation
Paper
•
2601.08828
•
Published
•
69
Jonathan Lorraine
lorraine2
AI & ML interests
machine learning, computer vision, generative AI
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6 days ago
📽️ New NVIDIA paper: Motion Attribution for Video Generation 📽️
We propose MOTIVE, a method for taking query video clips and identifying which training data will improve or degrade performance after finetuning, enabling sophisticated data curation and beyond!
🔎 Project Page: https://research.nvidia.com/labs/sil/projects/MOTIVE/
📖 Full Paper: https://arxiv.org/abs/2601.08828
Check out more work from the NVIDIA Spatial Intelligence Lab here: https://research.nvidia.com/labs/sil/
This project was led by the great work of Xindi(Cindy) Wu, along with Despoina Paschalidou, Jun Gao, Antonio Torralba, Laura Leal-Taixé, Olga Russakovsky, and Sanja Fidler.
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6 days ago
📽️ New NVIDIA paper: Motion Attribution for Video Generation 📽️
We propose MOTIVE, a method for taking query video clips and identifying which training data will improve or degrade performance after finetuning, enabling sophisticated data curation and beyond!
🔎 Project Page: https://research.nvidia.com/labs/sil/projects/MOTIVE/
📖 Full Paper: https://arxiv.org/abs/2601.08828
Check out more work from the NVIDIA Spatial Intelligence Lab here: https://research.nvidia.com/labs/sil/
This project was led by the great work of Xindi(Cindy) Wu, along with Despoina Paschalidou, Jun Gao, Antonio Torralba, Laura Leal-Taixé, Olga Russakovsky, and Sanja Fidler.
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