Neural Semantic Surface Maps
Through pre-trained ViT(DinoV2) we extract (visual) semantic correspondences to optimize inter-surface mapping.
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I am a PhD student at University College London, working with Niloy J. Mitra and Noam Aigerman. My research lies at the intersection of computer vision, computer graphics and machine learning.
Through pre-trained ViT(DinoV2) we extract (visual) semantic correspondences to optimize inter-surface mapping.
[PDF]
[Webpage]
Neural surface representation disentangling coarse geometry from fine details. Thanks to CNNs inductive bias, the description is compact and allows editing....
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Neural representation of surface maps, allowing optimization of differentiable quantities in inter-surface maps.
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Fast scene point cloud simplification leveraging semantic information.
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Next Best View prediction based on photogrammetry principles."
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Novel player represenation in Physically-Interactive RoboGames.
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