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Hi, thanks for the nice work! I am quite new to this, but wondering if we can do differentiable rendering with t3 as done in https://github.com/BachiLi/redner ?
oeway updated
3 years ago
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- https://arxiv.org/abs/2006.12057
- 2020
概要-
ディープニューラルネットワーク(DNN)は、物体の検出や画像のセグメンテーションなど、視覚に関連するタスクにおいて顕著な性能向上を示している。
その成功にもかかわらず、一般的には、シーンの3D情報を収集したり、簡単にアノテーションを付けたりすることができないため、画像を形成する3Dオブジェ…
e4exp updated
2 years ago
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Hello,do you have any plans to share the implementation of the 2D differentiable polygon rendering method ? Looking forward to your reply, thanks a lot.
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It seems that the viewmatrix (w2c) in GaussianRasterizationSettings is not differentiable. When traversing through grad_fn.next_functions.
```
# l1 + dssim
loss.backward()…
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The `render_pyvista` method allows you to generate realistically-styled images from a camera viewpoint. We currently only use it to generate simulated images in the concept figures notebook and not in…
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Hi thanks for the amazing project, the best I've seen so far.
On some of the 3D models I'm trying I receive som weird pink-green artifact like salt and pepper noise, any idea why is that
![final_o…
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Thank you for your great working.
I get this error messge when i run setup.py
```
running build_ext
building 'im2mesh.utils.libkdtree.pykdtree.kdtree' extension
Emitting ninja build file /home…
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# Summary
Is it possible to differentiable render the participating media? I want to restore the original scene parameters of the participatory media by differentiable rendering
## Description
…
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## Summary
How to split differentiable render results of an "aov" integrator?
## Description
I have a scene with an aov integrator defined as follows:
```
…
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Hello, thank you for your brilliant work in HR multi-view diffusion models and Wonder3D-style 3D generation!
I run your code on my case and it works well during diffusion inference stages and NeuS …