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Tolga Birdal

@tolga_birdal • 4,032 subscribers

geometric computing, computer vision, machine learning, philosophy, music @ICComputing, previously @StanfordAILab

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We present Neural Riemannian Motion Fields (NRMF) as a promising paradigm for generative modeling of articulated motion. Unlike various diffusion based models, NRMF is useful both in generation and in deployment as a prior across tasks: #CVPR #AI #CVML👇

We present Neural Riemannian Motion Fields (NRMF) as a promising paradigm for generative modeling of articulated motion. Unlike various diffusion based models, NRMF is useful both in generation and in deployment as a prior across tasks: #CVPR #AI #CVML👇

16,771 Aufrufe • vor 11 Monaten

Beyond 3D representations, we must rethink appearance too—textures specifically. UV-maps, the de-facto standard, have inherent flaws: seams, distortions, memory waste, and non-uniform resolution. Can we do better? With Simone Foti, we propose UV3-TeD: 👇

Beyond 3D representations, we must rethink appearance too—textures specifically. UV-maps, the de-facto standard, have inherent flaws: seams, distortions, memory waste, and non-uniform resolution. Can we do better? With Simone Foti, we propose UV3-TeD: 👇

22,794 Aufrufe • vor 1 Jahr

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