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DreamCatalyst AI: Fast and High-Quality 3D Editing

DreamCatalyst AI: Fast and High-Quality 3D Editing
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Table Of Content

What is DreamCatalyst AI?

DreamCatalyst is a novel framework that considers the sampling dynamics of diffusion models within the Score Distillation Sampling (SDS) framework. This framework is designed to be applied to various 3D editing models, such as NeRF (Neural Radiance Fields) and 3DGS (3D Gaussian Splatting). The primary goal of DreamCatalyst is to reduce training time while improving the quality of 3D editing.

DreamCatalyst AI 3D Editing

For more detailed information, you can refer to the official paper.

DreamCatalyst Architecture

The architecture of DreamCatalyst is built to optimize the sampling process in diffusion models, making it more efficient for 3D editing tasks. By integrating with existing frameworks like NerfStudio and Threestudio, DreamCatalyst provides a robust platform for editing 3D scenes and objects.

DreamCatalyst AI 3D Editing

Getting Started with DreamCatalyst

To get started with DreamCatalyst, we provide implementations based on two popular frameworks:

  1. NerfStudio: A framework designed for editing NeRF or 3DGS models.
  2. Threestudio: A framework specifically tailored for Gaussian Editor with DreamCatalyst.

Below, I’ll guide you through the steps to set up and use DreamCatalyst effectively.

Dataset

Downloading the Dataset

To begin, you’ll need to download the dataset required for 3D scene editing. The dataset can be accessed from the following link. Once downloaded, extract it into the dataset directory.

This dataset includes 3D scene data, with a subset from Instruct-NeRF2NeRF.

Note: Dreambooth checkpoints are not required for DreamCatalyst, so you can skip downloading them.

Using the Dataset with Threestudio (GaussianEditor)

For those using Threestudio, follow these instructions:

  1. Extract Preprocessed COLMAP Datasets:

    • Extract the preprocessed COLMAP datasets into the colmap directory.
    • Extract the source 3DGS into the scene directory.

  2. Provided Resources:

    • We provide the COLMAP and initialized 3DGS for the source scene.
    • You can use the dataset provided by PDS, as mentioned earlier.

  3. Preprocess the Dataset:

    • Convert the dataset into COLMAP format as described in the official 3DGS repository.

  4. Initialize 3DGS:

    • Follow the instructions for initializing 3DGS from the official 3DGS repository.
    • Locate the point cloud .ply file (e.g., scene/yuseung/point_cloud/iteration_30000/point_cloud.ply).

DreamCatalyst in Action

It’s a powerful AI that allows you to edit or replace objects in NeRF videos. NeRF, or Neural Radiance Fields, represents 3D videos created by combining multiple camera angles of a scene.

How It Works

  1. Capturing the Scene:

    • Multiple cameras record a scene from various angles.
    • These videos are combined to create a 3D video.

  2. Editing with DreamCatalyst:

    • DreamCatalyst enables you to edit these 3D videos using simple text prompts.

Examples of DreamCatalyst Editing

Here are some examples of what DreamCatalyst can do:

  • Character Transformations:

    • Turn a person into Einstein, an elf, or even a skull.
    • Add creative features like mustaches or other facial modifications.

  • Scene Transformations:

    • Original 3D video (left) vs. Edited 3D video (right):
      • Bear Statue:
        • Prompt: “Turn the bear statue into a polar bear.”
        • Result: The statue transforms into a polar bear.
        • Prompt: “Turn the bear statue into a grizzly bear.”
        • Result: The statue becomes a grizzly bear.
      • Seasonal Changes:
        • Prompt: “Make it autumn.”
        • Result: The scene transforms into an autumn setting.
        • Prompt: “Make it look like it just snowed.”
        • Result: The scene appears covered in snow.
        • Prompt: “Make it sunset.”
        • Result: The scene transitions into a sunset view.

Applications of DreamCatalyst

DreamCatalyst has a wide range of applications, including:

  • Video Games:
    • Customizing characters, objects, and environments.
  • Product Design:
    • Creating and editing 3D models for product visualization.
  • Animation and Virtual Reality:
    • Enhancing animations and VR experiences with dynamic 3D edits.

GitHub Repository

DreamCatalyst has already been released on GitHub. The repository contains all the necessary instructions for downloading and setting up the framework.

Conclusion

DreamCatalyst is a groundbreaking framework that simplifies and enhances 3D editing using diffusion models. By integrating with existing frameworks like NerfStudio and Threestudio, it offers a seamless experience for editing 3D scenes and objects. If you’re working on video games, product design, or virtual reality, DreamCatalyst provides the tools you need to bring your creative visions to life.

For more details, don’t forget to check out the official paper and GitHub repository.

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