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I trained a 128x64 model (with sparse=False); if I record the ~39 *denoiser outputs* during the course of a single sampling loop and compute their mse loss (*not* weighted by lambda_sigma because this…
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Dear author
Thank you for your work, which has inspired me a lot. I find the overall framework idea very interesting, but there is a small detail that I am not very clear about, which leads to some o…
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I am using the latest version (4.2.0) on a Ubuntu server while rendering headless.
Here is the quality of images rendered from one camera while only using a single environment:
![one_environment](…
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The actual math goes way over my head, but it doesn't seem like patch-denoising includes a way to use noise scans with the NORDIC denoiser. The documentation mentions "pre processing the image and div…
tsalo updated
1 month ago
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Use Intel Open Image Denoiser
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### System Info
```Shell
- `Accelerate` version: 0.33.0
- Platform: Linux-5.15.0-1067-azure-x86_64-with-glibc2.31
- `accelerate` bash location: /home/azureuser/miniconda3/envs/pytorch/bin/accelerat…
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hello i have issues wiht denoising in blender 3.3.15
the render yields black image and this is spammed in terminal
```
E0711 10:27:28.588956 19639 denoiser_oidn.cpp:182] OpenImageDenoise error: im…
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Just installed and give it a test of the trained model.
from tld.configs import LTDConfig, DenoiserConfig, TrainConfig
from tld.diffusion import DiffusionTransformer
denoiser_cfg = DenoiserConf…
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## Summary
Include a node that uses the Intel Open Image Denoiser library so we can denoise with cycles as a post-process.
## User story
### What ###
OIDN is super fast and super useful fo…
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Here is a repro:
```cpp
#include "Halide.h"
#include "HalideBuffer.h"
using namespace Halide;
int main(int argc, char **argv) {
Target target = get_jit_target_from_environment();
…