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Jonathan Lorraine
lorraine2
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AI & ML interests
machine learning, computer vision, generative AI
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π½οΈ New NVIDIA paper: Motion Attribution for Video Generation π½οΈ 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! π Project Page: https://research.nvidia.com/labs/sil/projects/MOTIVE/ π 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-TaixΓ©, Olga Russakovsky, and Sanja Fidler.
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6 days ago
π½οΈ New NVIDIA paper: Motion Attribution for Video Generation π½οΈ 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! π Project Page: https://research.nvidia.com/labs/sil/projects/MOTIVE/ π 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-TaixΓ©, Olga Russakovsky, and Sanja Fidler.
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11 days ago
Score Distillation Sampling for Audio: Source Separation, Synthesis, and Beyond
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