Aayush Prakash Profile
Aayush Prakash

@aayush382

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278
Following
298
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115

Synthetic data at Meta @RealityLabs. Ex AI Reverie. Ex NVIDIA. IIT KGP. Opinions are personal.

San Francisco, CA
Joined October 2010
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@aayush382
Aayush Prakash
1 year
Announcing second workshop "XRNeRF: Advances in Radiance Fields for the Metaverse" at #cvpr2024 in Seattle! Please join us on June 18th! Program here https://t.co/l8OPGbb9U7 co-organized w/ @FerranDeLaTorre @daeil @angelaqdai Peter Vajda @CVPRConf @CVPR #CVPR2024
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@sarafianosn
Nikolaos Sarafianos
7 months
𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗨𝗩𝗚𝗦 We introduce 𝗨𝗩𝗚𝗦, a new 2D representation of 3D Gaussian Splatting (3DGS) that leverages spherical mapping. Website: https://t.co/ABaONAuapV Paper: https://t.co/5mVfFPNjVT
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@sarafianosn
Nikolaos Sarafianos
9 months
A New Approach for 3D Mesh Editing Adding rabbit ears to a bird in 3D is a pretty challenging task but it's now possible with our new approach. Website: https://t.co/F0yTEsxkeC Arxiv: https://t.co/nIvBYpANhn
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@aayush382
Aayush Prakash
1 year
Come join us in Summit 332, Seattle Convention Center, #cvpr2024
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@aayush382
Aayush Prakash
1 year
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@aayush382
Aayush Prakash
1 year
We will cover recent advances in RF (NeRF, Gaussian Splatting) that are key to Metaverse. Please join us- if you're planning to attend CVPR in person.
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@poolio
Ben Poole
2 years
Stoked to be at #CVPR2023 for my first ever vision conference! Would love to meet new folks and chat generative 3D & diffusion, or bike around Stanley Park. Learn about our work at XRNeRF on Sunday ( https://t.co/27nUhGsS4m), or 3DMV on Monday ( https://t.co/9vRsUXoUPS)
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@aayush382
Aayush Prakash
2 years
📢We are co-organizing #cvpr2023 workshop "XRNeRF: Advances in NeRF for the Metaverse" with @jon_barron @akanazawa @FerranDeLaTorre @daeil Peter Vajda Please join us in Vancouver on Sunday 18th at 8:30 am in East Ballroom B Full Schedule: https://t.co/vS7TgwFqUZ
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@aayush382
Aayush Prakash
3 years
📢 We are *hiring* for research contract/internship positions (6-12 months) immediately in USA/Canada! @MetaAI Experience with NeRF (generative and improving fidelity) is a must! Please reach out directly https://t.co/zvPAUx1H1x #NeRF
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@aayush382
Aayush Prakash
3 years
I'll be speaking at the RE WORK AI Summit in San Francisco on February 15th about synthetic data. #syntheticdata #computervision
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@aayush382
Aayush Prakash
3 years
📢Announcing First workshop on "Advances in NeRF for the Metaverse" in #CVPR2023 held in Vancouver, Canada 📢Call for papers: https://t.co/Ko4jn097Wz Organizers: @jon_barron @akanazawa @FerranDeLaTorre @daeil @GoogleAI @MetaAI
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@aayush382
Aayush Prakash
3 years
Announcing First workshop on "Advances in NeRF for the Metaverse" in #CVPR2023 held in Vancouver, Canada Call for papers: https://t.co/Ko4jn097Wz Organizers: Jon Barron (Google), Angjoo Kanazawa (University of California, Berkeley), Fernando De La Torr… https://t.co/1XlAkXxwTo
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linkedin.com
Announcing First workshop on "Advances in NeRF for the Metaverse" in #CVPR2023 in Vancouver, Canada Call for papers: https://lnkd.in/gA6M2-U6 Organizers: Jon Barron (Google), Angjoo Kanazawa (Unive...
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@aayush382
Aayush Prakash
3 years
Workshop list is out including our workshop on NeRF
@CVPR
#CVPR2025
3 years
The #CVPR2023 list of accepted workshops, along with links to their webpages, is now available!
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@shawnmjones
Shawn M. Jones, PhD / @[email protected]
3 years
Now at #ECCV2022 session 1.B.1 @_just_the is presenting “Unpaired Image Translation via Vector Symbolic Architectures” Preprint: https://t.co/UiV0aruEKM Code: https://t.co/M2sMik6h99 Paper: https://t.co/WkCTSzBKLk
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@aayush382
Aayush Prakash
3 years
Please come join us at #ECCV2022 for the talk! #syntheticdata #metaverse
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@arxiv_cs_cv_pr
cs.CV Papers
3 years
Unpaired Image Translation via Vector Symbolic Architectures. Justin Theiss, Jay Leverett, Daeil Kim, and Aayush Prakash
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@arXiv_reaDer
arXiv reaDer bot (cs-CV)
3 years
Unpaired Image Translation via Vector Symbolic Architectures ベクトル シンボリック アーキテクチャによる対のない画像変換 2022-09-06T17:53:57+00:00 arXiv: https://t.co/7Sty1UBAlg 英/日サマリ↓ https://t.co/2o36jhLRJm
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arxiv.org
Image-to-image translation has played an important role in enabling synthetic data for computer vision. However, if the source and target domains have a large semantic mismatch, existing...
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