CGDenoiser

KO | EN

gitlite — search

#python #ai #llm #golang #android #machine-learning #deep-learning #linux #macos #windows #cli #kubernetes #mcp #openai

(★ 9)

Nuke plugin for denoising CG renders with OIDN and OptiX.

CGDenoiser Latest Version Download

Download Latest Version (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

<h1 align="center">🪄 CG Denoiser</h1>

A **Nuke Plugin** for high-quality denoising of CG renders using **Intel Open Image Denoise (OIDN)** and **NVIDIA OptiX**.

Designed for production workflows with support for auxiliary buffers such as **albedo**, **normal**, and **motion vectors** (OptiX temporal).

---

## ✨ Features

- 🎯 High-quality denoising for CG renders
- ⚡ Dual backend support:
  - Intel OIDN (CPU / GPU depending on build)
  - NVIDIA OptiX (GPU accelerated)
- 🧠 Temporal denoising support (OptiX)
- 🎨 Auxiliary buffers:
  - Albedo
  - Normal
  - Motion vectors (for temporal stability)
- 🔧 Configurable quality, device, and filtering modes

---

## 🧩 Supported Versions

- **Nuke 17.0v1**
- **Nuke 16.0v2**
- **Nuke 15.2v4**

Other versions may be suported, however some manual fixing will be needed.

---

## 📦 Installation

See `BUILDING.md` for information about installating.

## 🧠 Usage

### Inputs

All inputs at the moment require being shuffled into RGB space. You will also need to denoise and copy the Alpha over seperately.

| Input   | Description                                      |
|---------|--------------------------------------------------|
| `color` | Main beauty render                               |
| `albedo`| Diffuse albedo pass (optional)                   |
| `normal`| World or camera space normals (optional)         |
| `motion`| Motion vectors (required for temporal OptiX)     |

### Settings

| Setting  | Type        | Description                          |
|----------|------------|--------------------------------------|
| `Engine` | Enumeration | The technique used for denoising     |

| Setting            | Type        | Description |
|--------------------|------------|-------------|
| `Device`      | Enumeration | The hardware backend used for OIDN denoising |
| `Filter`      | Enumeration | The filter method used for OIDN denoising |
| `Quality`     | Enumeration | Image quality |
| `Mode`        | Enumeration | Input image encoding. Use HDR unless the input is sRGB (2.2 gamma) or linear, in which case use sRGB. Output follows the same encoding |
| `Clean Aux`       | Boolean     | Denoise auxiliary features (albedo, normal) |
| `Input Scale`  | Float       | Scales input values before filtering without affecting output range. Useful for mapping HDR values to expected ranges |
| `Directional` | Boolean     | Indicates input contains normalized directional lightmap coefficients (typically in [-1, 1]) |

| Setting        | Type        | Description |
|----------------|------------|-------------|
| `Model`  | Enumeration | The method used for OptiX denoising. Temporal mode requires motion vectors |
| `Blend`  | Float       | Denoising strength. 1.0 = fully denoised |

### Issues

If you come across any Issues / Bugs, or are able to build the plugin for other versions of Nuke, please [Create an Issue](https://github.com/cjhosken/CGDenoiser/issues).

## 📄 License

This project was created under the MIT license.

## 👤 Author

Special thanks to [https://github.com/mateuszwojt/NukeCGDenoiser](https://github.com/mateuszwojt/NukeCGDenoiser) and [https://github.com/twins-annning/NukeOIDNDenoise](https://github.com/twins-annning/NukeOIDNDenoise) for the launching off point for this project. Without your code I definitely woudn't have made it this far.

CGDenoiser

CGDenoiser Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

CGDenoiser

CGDenoiser Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

Download README