Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

1-layer, 8-bits parameter neural net doing pattern completion with sparse distributed activations and grid-cell-like vector fields can learn to retopo, maybe. #b3d #blender #retopology

22,379 Aufrufe • vor 3 Jahren •via X (Twitter)

7 Kommentare

Profilbild von Jeacom
Jeacomvor 3 Jahren

Still having trouble with the brush coordinates thing.

Profilbild von Daniel Kreuter
Daniel Kreutervor 3 Jahren

I love this idea! I’m looking forward to seeing what will become this concept 😊

Profilbild von L̟̹̩̾̐apisSea🔶
L̟̹̩̾̐apisSea🔶vor 3 Jahren

In my experience retopology is not really an issue of how to place the next quad in a grid, it's more an issue of how to achieve the wanted edge flow and density in certain area while minimizing poles or triangles and maximizing the preserved detail of the base shape.

Profilbild von Jeacom
Jeacomvor 3 Jahren

well, this is gonna be a quad brush and not a auto-retopo button so unfortunately, solving poles is a task for the user. but I guess automatically placing and connecting dozens of quads in sensible locations with a single brush stroke is going to release a bit of the burden.

Profilbild von AFX
AFXvor 3 Jahren

This looks awesome 👏

Profilbild von ADecadeAtMost
ADecadeAtMostvor 3 Jahren

How’s Blender sending and receiving data to the model and whete is the model running?

Profilbild von Jeacom
Jeacomvor 3 Jahren

The model is running on CPU locally inside blender's thread. its all mostly custom un-optmized python code and some Cython for vector crunching.

Ähnliche Videos