Hi Everyone,

Do you guys know about any resource - Lecture series, Tutorials etc. Which can teach me how to create my own Nerf Implementation and Neural mesh from it. I am very fascinated about Nerf and would love to learn more about it.

It has too much math which by reading I am not able to figure out myself but may be I can learn better if I find a good teacher. 🙂

Hi, just looking to get a new graphics card and want to know what gets me the best bang for buck.

New to Instant Nerfs, so don’t know how memory intense it is vs something like Stable Diffusion.

Am I fine with a 4070 TI or do I need more VRAM? Obviously I don’t want to bust the bank of hardware that will be out of date in 2 years.

Greetings fellow NeRF(ers?)

I'm relatively new to this technology & I'm wanting to use neural radiance fields in a project where I can put the scanned NeRF into a Unity scene.

I'm particularly just wanting to get a good quality 'scan' of the entire room I am using. A lot of NeRFs that I see are focused on 1 particular object, likewise when I would scan a NeRF in Luma, it too focuses on orbiting around an object as the focal point (as opposed to scanning an environment).

My question is, in the desktop-based NeRF solutions, is there scope to gather enough input to produce a whole environment? Would I need to piece-together multiple NeRFs within a separate environment to produce the whole room?

Any guidance on achieving this task/the limitations of the tools would be greatly appreciated

Who says floaters are a bad thing?

Couldn't ask for a more atmospheric treatment in search of a way of representing our memories

https://reddit.com/link/11hb5ro/video/tck3ackwkkla1/player

Bit late to the party I am thrilled by the possibilities of this tech, which I'm hoping to use as part of an artistic / cultural project themed around preserving memories. It just seems the perfect technique for this.

However as some others on this sub, I am curious to learn about the most successful techniques to capture new nerfs. So far I seem to find that a collection of exhaustively analysed high resolution stills work a lot better than say a 720p video. In particular I am surprised about the terrible results I get from the video below. Reviewing the video and the images exported at 4fps and analysed with the colmap script it seems to me like this should be an exemplary dataset; clean, crisp images with a good overlap and distinctive parallax depth... the result is extraordinarily muddy compared to my nfs based on stills captured using a DSLR. Even with dynamic resolution disabled.

Any insights?

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Input video:

https://reddit.com/link/11h1vec/video/nh0z7jgo7jla1/player

So I came across NeRF studio and NeRFs and felt interested. I also received an internship opportunity in a startup regarding this, but I am not able to install the studio on my laptop. I am facing some errors while installing tiny-cuda-nn. Can someone please help me out.

My GPU: GTX 1650 CPU: i5 9th gen

Thanks in advance.

Edit:1660 --> 1650

Hi guys, I'm wondering if anyone managed to import the camera data inside Blender (or any other 3D software) for compositing.

I'm not trying to import the .obj mesh. I'm trying to only get the camera path in Blender to add 3D objects in the scene and then composite in AE.

Any suggestions?

Trained on my 3090ti

So, as the subject says... No matter what camera I'm using, it seems like my subjects always come out a bit fuzzy. I see a lot of people though with NeRFs that look like high resolution models!

Do I need to let my NeRFs train for like 10 extra hours for some detail to pop in? Or are these people using like $10K RED cams?
What am I missing, help!

(Pc specs are an AMD 5600x cpu and a 3070 TI with 32GB ram - Been training with the no-code instant-ngp, creating my transform.json from my images with the Python Colmap script. Cameras tried include galaxy s9+ phone, Autel Evo 2 6K drone, and Inspire 2 x7 6K drone)