The 6th #CV4ARVR workshop, conducted in conjunction with @CVPR 2022, is now accepting submissions. Please submit a 2-3 page extended abstract by 4/9!
https://t.co/dO9eB5kDQe
We are looking for talented Research Interns to join the FRL XR People team and work on exciting R&D problems. Our team is focused on developing novel human understanding technologies on AR and VR devices.
To apply follow this link
https://t.co/TjMyrTAdD1
We are looking for talented Research Interns to join the FRL XR People team and work on exciting R&D problems. Our team is focused on developing novel human understanding technologies for AR/VR.
To apply follow this link --> https://t.co/c9lad6tg51
and reconstruction (e.g. NeRF), image synthesis (e.g. GAN), segmentation, differentiable rendering, novel text input techniques, novel sensors / sensor fusion (e.g. EMG, accelerometer, ...) and efficient ML techniques to run these methods on AR/VR devices.
We would like to support students who are working on advancing the state-of-the-art in human understanding for AR/VR. Topics of interest include, but are not limited to, tracking and modelling humans and objects, action and gesture recognition, non-rigid fusion
The deadline is approaching! Submit your best work to the 5th workshop on Computer Vision for AR/VR, in conjunction with ICCV 2021.
https://t.co/rPr2wvMcDE
Call for papers for the 5th workshop on Computer Vision for AR/VR, in conjunction with ICCV 2021.
Deadline July 30th 2021. Submit your best work and spread the word!!!
https://t.co/rPr2wvMcDE
Introducing HyperNeRF! By lifting NeRF into higher dimensions, we fix a big limitation of Nerfies: topological changes. HyperNeRF can handle topological variations such as facial expressions that Nerfies can't.
Website: https://t.co/fcH57u0EIM
arXiv: https://t.co/AezSuU4RF6
(1/N)
Today we're releasing the code for Nerfies!
We've also included a Colab demo so that you can try out a basic version of our method right in your browser.
Project Page: https://t.co/3YBSdwCGpi
Github: https://t.co/8uvGbchpK4
[1/n] 🧵👇
If you were wondering how one can photorealistically reconstruct a non-rigidly deforming scene captured casually from a mobile phone, check out our work on deformable NeRF and how we used it to take selfies.
We present nerfies! We use selfie videos to create 3d free-viewpoint portrait visualizations of yourself using Deformable NeRFs! More details at https://t.co/wyBh6Gw6HW and below (1/8)
State of the art work on depth sensing from Vladimir and the team. Fast, accurate and able to leverage small training sets. The approach ranks 1st-3rd on all the ETH3D metrics and also on KITTI 12/15 among the sub 100ms methods. https://t.co/5aXyOtXm1k
Check out our tutorial on Disentangled 3D Representations for Relightable Performance Capture of Humans ! #CVPR2020 https://t.co/vG9uNs2Woo
From high quality depth sensing to neural rendering!
Join us tomorrow for the CVPR20 AR/VR workshop via Zoom! Eight exceptional speakers will discuss a variety of topics in new immersive technologies with AR/VR. https://t.co/HUF9Cj738z
If you are at #NeurIPS2019 , don't miss our paper on sparse multi-view (1 or more) object reconstruction. **Wed Dec 11th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #96** Joint work with: @davrempe@JPCValentin@_sofien_ Leo Guibas. @NeurIPSConf