It's been a while since Principled Hair Huang released. Any opinions on it?

Support Materials and Textures
,
1

I have heard maybe one or two opinions on the comparison so far and I find it a bit weird. Personally I have mixed feelings about the Huang option. It makes the hair significantly darker and sometimes ends up being more noisy and slower to sample than Chiang. Although iirc it was supposed to be more realistic which I don’t particularly care about cause imo it looks worse on some colors.

So after looking this up on google and finding basically 0 opinions I want to ask what people here think about it.

2

Interesting … never used the hair shader… even also this option is mentioned already since 4.0 (!! (a while… :stuck_out_tongue_closed_eyes: ) → docs.blender 4.0 → shader_nodes → hair_principled → huang-model
…also (after quick search with the awesome forum search function (top right :mag:–icon))… it seems to be mentioned here on BA only in some developer news :thinking:

Thanks for learning something new… :smiley_cat:

3

That is why Huang is not the default model.
In release notes of Blender 4.0, its limitations were explained.

https://developer.blender.org/docs/release_notes/4.0/cycles/#principled-hair-bsdf

The darkening is supposed to add realism. That is for a far-field, not close ups.
It is for a mass of long hair, long fur, seen entirely.
Or if you want more reflection from closed light source.

4

@Okidoki

it seems to be mentioned here on BA only in some developer news :thinking:
Thanks for learning something new… :smiley_cat:

Yeah, nobody is talking about it :sweat_smile:
No problem tho lol

@zeauro

In release notes of Blender 4.0, its limitations were explained.

Ohhh that’s an inconvenient place, explains why I haven’t come across ever since and forgot. Tbh it should’ve been written in the docs.

Thanks for reminding me tho. I suppose there’s not much else to be said about it. Kind of a bummer as I was excited about it back in the 4.0 days. :weary:

5

Well… we just did… :smile_cat:

6

To be fair, the docs gives link to original paper, where you can also read about expected benefits.