Results 18 comments of Selena

Here is a minimal script that has this behavior with vith the sphere.obj here [https://drive.google.com/file/d/1E8IPf1Ge_A-eBuUDSyh2LKous3f4d66G/view?usp=sharing](url) ``` import igl ​ m_in_v, _, m_in_n, m_in_f, _, _ = igl.read_obj("./sphere.obj") # sphere nv...

A clean build worked! Thank you so much.

I'm on pytorch 1.13.0, and currently the code does run with the following modification though I'm not 100% sure if this does what the old code do. ` name =...

This [issue](https://github.com/nerfstudio-project/nerfstudio/issues/806) solves this problem.

I usually see good results with 200k steps : )

Gald it worked out! And sorry I was thinking of training neus when I replied, and yes with nerfacto it shouldn't take 200k steps.

@THUROI0787 Do you see these kind of white fog rendering during training? It doesn't seem to go away in mine.

Yes, I tried `ns-train nerfacto --pipeline.model.background-color white --pipeline.model.disable-scene-contraction True --output-dir /scratch/local/2023/zling/project/shellnerf/outputs --vis tensorboard --pipeline.model.proposal-initial-sampler uniform --pipeline.model.near-plane 2. --pipeline.model.far-plane 6. --pipeline.datamanager.camera-optimizer.mode off --pipeline.model.use-average-appearance-embedding False --pipeline.model.distortion-loss-mult 0 blender-data --data ../data/ficus`

this is the rendering after 29500 steps. :/

If possible, would you mind sharing what your rendering looks like by the end? @THUROI0787 Thank you!