
Ayush Tewari
@_atewari
Assistant Professor @Cambridge_Eng
ID: 1077992450432499712
https://ayushtewari.com 26-12-2018 18:20:03
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1,1K Followers
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Excited to present some experiments we did with our partners from Volucap - Volumetric Studio on using neural rendering for creating a bullet time effect on a scene from #Matrix4š„š NR-Nerf project page: vcai.mpi-inf.mpg.de/projects/nonri⦠Volucap project page: volucap.com/portfolio-itemā¦

Me and some members of my research group (Ayush Tewari, George Cazenavette, Cameron Smith) will be at NeurIPS - talk to us about our work on training 3D diffusion models only from images (ā¦ffusion-with-forward-models.github.io) and pixelNeRF without camera poses (scenerepresentations.org/publications/fā¦)! #NeurIPS2023





Introducing āFlowMapā, the first self-supervised, differentiable structure-from-motion method that is competitive with conventional SfM like Colmap! cameronosmith.github.io/flowmap/ IMO this solves a major missing piece for internet-scale training of 3D Deep Learning methods. 1/n

Excited to announce that I will be joining the University of Cambridge Engineering Dept as an assistant professor in spring 2025! I will be looking for students for the next year. Check out Elliott / Shangzhe Wu's thread for details on how to apply, and get in touch!


āØApplications are now open for PhDs at the Cambridge Machine Learning Group!⨠We're looking for outstanding candidates interested in fundamental ML research and applications to scientific domains! More info: mlg.eng.cam.ac.uk/phd_programme_⦠š§µFind more about PIs & focus areas below!





š¢š¢š¢ "šššš¢šš§š š šØšš¦: Real-Time Differentiable Ray Tracing", a mesh-based 3D represention. radfoam.github.io arxiv.org/abs/2502.01157 Co-lead by my PhD students Shrisudhan Govindarajan and Daniel Rebain, and w/ Kwang Moo Yi

Join Us! University Assistant Professor in #MachineLearning #AI Engineering Dept Cambridge University details here: jobs.cam.ac.uk/job/49361/
