

Mvdrag3d
Overview :
MVDrag3D is an innovative 3D editing framework that facilitates flexible and creative drag-and-drop 3D editing by leveraging multi-view generation and reconstruction priors. The core technology employs a multi-view diffusion model as a robust generative prior to perform consistent drag-and-drop editing across multiple rendering views, followed by reconstructing the 3D Gaussian of the edited object. MVDrag3D utilizes view-specific deformation networks to adjust the position of the Gaussian for optimal view alignment and introduces a multi-view scoring function to extract generative priors from various views, further enhancing view consistency and visual quality. This technology holds significant importance in the field of 3D modeling and design, as it supports diverse editing effects and applies to various object categories and 3D representations.
Target Users :
MVDrag3D is tailored for 3D designers, modelers, and visual effects specialists. This tool suits their needs by offering an intuitive and precise approach to editing and creating 3D models, enhancing both flexibility and efficiency in the design process. Additionally, it supports a wide range of object types and 3D representations, allowing users to apply this technology across various design scenarios.
Use Cases
Example 1: A designer uses MVDrag3D to drag and edit a car model, adjusting the lines and shapes of the body.
Example 2: A visual effects expert leverages MVDrag3D for rapid modifications of 3D scenes during film production.
Example 3: An architectural designer fine-tunes a building model using MVDrag3D to optimize the design.
Features
- Multi-view diffusion model: Acts as a generative prior for consistent drag-and-drop editing across multiple rendering views.
- 3D Gaussian reconstruction: The edited image is used to revert to the original 3D Gaussian, providing precise geometric representation for the 3D model.
- View-specific deformation network: Adjusts the position of the Gaussian to improve geometric alignment between different views.
- Multi-view scoring function: Enhances view consistency and visual quality by extracting generative priors from multiple views.
- Support for various object categories: Applicable to different types of objects, offering broader editing possibilities.
- Flexible editing effects: Users can achieve precise 3D editing through drag-and-drop, allowing for the creation of personalized 3D models.
- Two-stage optimization process: First adjusts the Gaussian position using deformation networks, then enhances the output's visual quality using multi-view scoring functions.
How to Use
1. Visit the MVDrag3D website to explore the product introduction and features.
2. Prepare or upload the 3D model you wish to edit.
3. Utilize the multi-view diffusion model for drag-and-drop editing, adjusting different parts of the 3D model.
4. Optimize the geometric alignment of the model with view-specific deformation networks.
5. Apply a multi-view scoring function to enhance the visual quality of the final output.
6. Once editing is complete, export the modified 3D model.
7. Implement or further refine the 3D model in actual projects.
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