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István Sárándi

@Istvan_Sarandi • 1,187 subscribers

Postdoc @ Real Virtual Humans, Uni Tübingen, Germany @uni_tue. PhD from @RWTHVisionLab.

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I'll present #NLF, our SOTA 3D human pose and shape estimator at #NeurIPS2024 today: poster at East Exhibit Hall A-C #1304 from 11:00! Project: Models out for both PyTorch and TF! Further details to come soon!
0:46
Istvan_Sarandi's profile picture

I'll present #NLF, our SOTA 3D human pose and shape estimator at #NeurIPS2024 today: poster at East Exhibit Hall A-C #1304 from 11:00! Project: Models out for both PyTorch and TF! Further details to come soon!

István Sárándi

79,755 views • 1 year ago

It's been a pleasure to work on this with Gerard Pons-Moll I think we found a really effective formulation for training large-scale strong pose and shape models. Here are some more qualitative results on tough, in-the-wild YouTube dance videos.
1:57
Istvan_Sarandi's profile picture

It's been a pleasure to work on this with Gerard Pons-Moll I think we found a really effective formulation for training large-scale strong pose and shape models. Here are some more qualitative results on tough, in-the-wild YouTube dance videos.

István Sárándi

40,556 views • 2 years ago

Tomorrow I'll talk at the #ICRA workshop on "Enhancing human mobility" on recent 3D human estimation works from our group led by Gerard Pons-Moll. And I've released PyTorch training code for NLF, and more tools. Here's a preview of the even stronger upcoming DINOv2-ViTg-based NLF
1:08
Istvan_Sarandi's profile picture

Tomorrow I'll talk at the #ICRA workshop on "Enhancing human mobility" on recent 3D human estimation works from our group led by Gerard Pons-Moll. And I've released PyTorch training code for NLF, and more tools. Here's a preview of the even stronger upcoming DINOv2-ViTg-based NLF

István Sárándi

12,124 views • 1 year ago

NLF is formulated in terms of an arbitrary keypoint estimation task, allowing to unify training data with different formats, with good pixel alignment. For SMPL output, we developed a super fast vertices-to-params fitter: And here's some more eye candy.
1:08
Istvan_Sarandi's profile picture

NLF is formulated in terms of an arbitrary keypoint estimation task, allowing to unify training data with different formats, with good pixel alignment. For SMPL output, we developed a super fast vertices-to-params fitter: And here's some more eye candy.

István Sárándi

10,162 views • 1 year ago

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