[ECCV 2020] NeRF: Neural Radiance Fields (10 min talk)

Best Paper Honorable Mention at ECCV 2020. This is the full 10 minute talk video accompanying the paper at the virtual ECCV conference.
Project Page: www.matthewtancik.com/nerf
Paper: arxiv.org/abs/2003.08934
Code: github.com/bmild/nerf
Supplemental video with additional comparisons: • NeRF: Neural Radiance ...
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
Ben Mildenhall*, Pratul P. Srinivasan*, Matthew Tancik*, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng
*denotes equal contribution

[@nikronic]

You might not believe, but 6 hours ago, I suddenly decided to read your amazing work! now I am here! Thank you

[@FredPauling]

The paper that started a revolution.

[@zhenyujiang9574]

At 9:07, the reflection on the TV screen is also changing accordingly. That's really amazing!

[@user-wb7df7my3m]

what did you expect, it was present in the input images. for the code, there should be no difference between the reflection and the 2nd room behind the tv

[@brainlink_]

Thank you so much for this wonderful video!

[@TheMcSebi]

Stunning

[@alfcnz]

Nice work and good presentation. Just a couple of questions, though.
At 5:59 you define the loss as using the function “render” which has never been defined here or on the paper. Can you please clarify where it comes from? Thanks.
Also, at 4:46 I understand that C = 𝔼(c), with c vectorial output of the net, following the cumulative opacity, function of σ, output of the network. Is this correct?

[@oOXpycTOo]

I guess, render function means just computing the color of an image at a particular pixel, using the formula, defined in th-cam.com/video/LRAqeM8EjOo/w-d-xo.html

[@pratik245]

Such a new concept.. No body really thought about it before them. How genious!!

[@ChrrZ]

incredible!!

[@snowjordan6822]

Wow