Drag Your GAN
Interactive Point-based Manipulation on the Generative Image Manifold
VS
NVIDIA GET3D
Generates high-quality 3D textured shapes from images.
Popularity
Drag Your GA...9,321
NVIDIA GET3D8,488
Pricing
FreeDrag Your ...
FreeNVIDIA GET...
Features
4
Drag Your ...
vs
5
NVIDIA GET...
Our verdict
Drag Your GAN is more geared toward b2c users, while NVIDIA GET3D targets b2b.
NVIDIA GET3D offers an API for integration into your workflows.
Detailed comparison
Criteria
Drag Your GAN
NVIDIA GET3D
Pricing
Free
Free
Plans & pricing
Free: Free
Free: Free, Business Inquiries: Custom
Free trial
No
No
Audience
b2c
b2b
Platforms
Desktop, Web, Api, Cli
Desktop, Api, Cli
API
No
Yes
Open Source
Open Source
Open Source
Integrations
Gradio, Docker, Google-colab, Pytorch, Stylegan2, Stylegan3, Hugging-face-spaces, Replicate, Anaconda, Pip
Unreal-engine, Unity, Nvidia-omniverse, Dall-e, Clip
Categories
Design
Design
Popularity
Very High
Very High
Description
Drag Your GAN is a research project enabling interactive point-based manipulation on generative image manifolds. Users can intuitively drag points on an image to target locations, synthesizing new content while preserving photorealistic quality and object structure. The project was presented at SIGGRAPH 2023 and accepted at CVPR 2021.
GET3D is a generative model that synthesizes high-quality 3D textured shapes learned from images. It enables the creation of detailed 3D models with realistic textures, materials, and lighting. The model utilizes techniques like Deep Marching Tetrahedra and EG3D for efficient geometry-aware 3D shape synthesis.
Pricing
Drag Your GAN
Free
NVIDIA GET3D
Free
Plans & pricing
Drag Your GAN
Free: Free
NVIDIA GET3D
Free: Free, Business Inquiries: Custom
Free trial
Drag Your GAN
No
NVIDIA GET3D
No
Audience
Drag Your GAN
b2c
NVIDIA GET3D
b2b
Platforms
Drag Your GAN
Desktop, Web, Api, Cli
NVIDIA GET3D
Desktop, Api, Cli
API
Drag Your GAN
No
NVIDIA GET3D
Yes
Open Source
Drag Your GAN
Open Source
NVIDIA GET3D
Open Source
Integrations
Drag Your GAN
Gradio, Docker, Google-colab, Pytorch, Stylegan2, Stylegan3, Hugging-face-spaces, Replicate, Anaconda, Pip
NVIDIA GET3D
Unreal-engine, Unity, Nvidia-omniverse, Dall-e, Clip
Categories
Drag Your GAN
Design
NVIDIA GET3D
Design
Popularity
Drag Your GAN
Very High
NVIDIA GET3D
Very High
Description
Drag Your GAN
Drag Your GAN is a research project enabling interactive point-based manipulation on generative image manifolds. Users can intuitively drag points on an image to target locations, synthesizing new content while preserving photorealistic quality and object structure. The project was presented at SIGGRAPH 2023 and accepted at CVPR 2021.
NVIDIA GET3D
GET3D is a generative model that synthesizes high-quality 3D textured shapes learned from images. It enables the creation of detailed 3D models with realistic textures, materials, and lighting. The model utilizes techniques like Deep Marching Tetrahedra and EG3D for efficient geometry-aware 3D shape synthesis.
Features
Drag Your GAN
Supplemental document available
Research project
Interactive image manipulation
GAN-based image synthesis
NVIDIA GET3D
Deep Marching Tetrahedra for high-resolution 3D shape synthesis
Extracting triangular 3D models, materials, and lighting from images
EG3D: Efficient Geometry-aware 3D Generative Adversarial Networks
DIB-R++: Learning to predict lighting and material with a hybrid differentiable renderer
Nvdiffrast – Modular primitives for high-performance differentiable rendering
Key differentiators
Drag Your GAN
- Interactive point-based image manipulation
- Photorealistic edits with preserved structure
- Intuitive drag-and-drop interface
- Versatile across image categories
- Real image editing via GAN inversion
NVIDIA GET3D
- High-quality textured 3D models from images
- Fast generation (20 shapes/sec)
- Clean, usable meshes with baked textures
- Trained from 2D images
- Professional pipeline integration
Other comparisons
FAQ: Drag Your GAN vs NVIDIA GET3D
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold. NVIDIA GET3D: Generates high-quality 3D textured shapes from images.. Both tools take different approaches to address similar needs.
Both offer a free or freemium plan. Drag Your GAN is free and NVIDIA GET3D is free.
The best choice between Drag Your GAN and NVIDIA GET3D depends on your specific needs. Compare their features, pricing, and target audience on this page to find the tool that best fits your use case.
Drag Your GAN is primarily designed for individuals, while NVIDIA GET3D is built for individuals.
Drag Your GAN offers: Supplemental document available, Research project, Interactive image manipulation, GAN-based image synthesis. NVIDIA GET3D offers: Deep Marching Tetrahedra for high-resolution 3D shape synthesis, Extracting triangular 3D models, materials, and lighting from images, EG3D: Efficient Geometry-aware 3D Generative Adversarial Networks, DIB-R++: Learning to predict lighting and material with a hybrid differentiable renderer.
Based on our data, Drag Your GAN currently enjoys greater popularity. However, popularity isn't the only factor — compare features to find the right tool for your needs.
Neither tool currently offers a free trial.
Drag Your GAN offers 10 integrations (gradio, docker, google-colab, pytorch, stylegan2...) compared to 5 for NVIDIA GET3D.
Drag Your GAN is available on Desktop, Web, Api, Cli. NVIDIA GET3D is available on Desktop, Api, Cli.