Instant NGP in 100 lines of PyTorch code | NeRF #13

Pure Python / PyTorch implementation of the paper "Instant Neural Graphics Primitives with a Multiresolution Hash Encoding" in 100 lines of PyTorch code.
Udemy course about NeRF: www.udemy.com/course/neural-r...
Link to the paper: arxiv.org/abs/2201.05989
GitHub: github.com/MaximeVandegar/Pap...
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#python #pytorch #nerf #neuralnetworks #machinelearning #artificialintelligence #deeplearning #data #research #neural #function #relu #positionalencoding #neuralrendering #rendering #neuralradiancefields #deeplearning #fastnerf #kilonerf #autoint #squeezenerf #3dreconstruction #novelviewsynthesis #instantngp #nvidia #radiance #fields #pleoctree #pose #estimation #learning #camera #parameters #colmap #realtime #real #time #freenerf #sparse #inputs #few #views #tutorial #tutorials #coding #implementation #prior #metalearning #reptile #ngp #instantngp #hashencoding #python #pytorch

[@williamzhang7083]

Exactly what im looking for. Thanks friend! Make more of these

[@papersin100linesofcode]

Thank you! Will do

[@dronaacharya2183]

Here before this channel blows up ;
Really nice works 🔥

[@papersin100linesofcode]

Thank you so much!

[@rajeshnagula8440]

Really great work!🎉
Would love to see implementation of RL papers and foundational models.

[@papersin100linesofcode]

Thank you! This is planned! Should be released in the coming months

[@BenignVishal]

great tutorial brother!

[@papersin100linesofcode]

Thank you so much! :)

[@billy.n2813]

Thank you very much for this video.

[@papersin100linesofcode]

My pleasure :)

[@gautamvashishtha3923]

Thank you so muchhh!!

[@papersin100linesofcode]

Thank you! :)

[@anhtth2207]

great tutorial. I am also wondering which theme you use in the video btw

[@papersin100linesofcode]

Hi @anhtth2207, thank you for your question. Do you mean the sublime text theme? If yes, this is the default theme

[@eigensmith8316]

hey can you please explain how can we render the images in 'novel_view' in to a 3D object. Does it require photogrammetry?

[@papersin100linesofcode]

Thank you for your question.
The learned NeRF representation is a 3D model of the object.
The most commonly used approach to obtain another representation (e.g. mesh) is to do a 3D to 3D conversion using algorithms such as Marching Cubes.
Another possible approach, more closely related to what you suggest, is to use the NeRF representation to generate more views -- and potentially depths -- so that they can be fed to an algorithm such as TSDF (truncated signed distance function) Fusion.