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zck119 avatar

zck119/3dgan-release

0
View on GitHub↗
825 stars·203 forks·Python·5 views3dgan.csail.mit.edu↗

3dgan Release

3D Generative Adversarial Network

Features

  • 3D and Spatial Synthesis - Probabilistic latent space modeling for 3D object shapes.
  • 3D Object Classification - Probabilistic latent space modeling for 3D shapes.
  • Image Synthesis - Learns probabilistic latent spaces for 3D object shapes.
  • Specialized Adversarial Applications - Models 3D object shapes using probabilistic latent spaces.

Star history

Star history chart for zck119/3dgan-releaseStar history chart for zck119/3dgan-release

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with 3dgan Release

These projects share indexed features with 3dgan Release. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • luanfujun/deep-photo-styletransferluanfujun avatar

    luanfujun/deep-photo-styletransfer

    9,994View on GitHub↗

    This project is a deep learning style transfer framework designed to apply artistic styles to photographs. It functions as a photorealistic image stylizer that merges the content of one image with the visual characteristics of another while maintaining the original geometry and structural details. The system distinguishes itself through the use of matting Laplacian matrices and semantic segmentation masks to prevent distortion and preserve edge fidelity. These capabilities allow for region-specific styling, where different aesthetics can be applied to distinct objects or areas within a single

    Matlab
    View on GitHub↗9,994
  • fogleman/primitivefogleman avatar

    fogleman/primitive

    13,158View on GitHub↗

    Primitive is an algorithmic art generator and geometric image reconstruction tool that transforms raster images into stylized vector compositions. It functions as an iterative shape optimizer and raster-to-vector converter, approximating pixel-based photos by layering geometric primitives such as triangles, circles, and rectangles. The project utilizes a search algorithm to determine the optimal position, size, and color for each shape to minimize the visual difference from the source image. Users can apply shape constraint definitions to control the properties and orientations of the geometr

    Goartgographics
    View on GitHub↗13,158
  • open-mmlab/mmagicopen-mmlab avatar

    open-mmlab/mmagic

    7,434View on GitHub↗

    mmagic is a multimodal training pipeline and framework for generative AI, focusing on visual synthesis and restoration. It provides the infrastructure to build and train models for tasks such as text-to-image and text-to-video generation, 3D-aware content synthesis, and high-fidelity image translation using diffusion models and generative adversarial networks. The project distinguishes itself through specialized capabilities for generative model personalization, including techniques for fine-tuning subjects and styles. It also supports advanced visual manipulations such as latent space interp

    Jupyter Notebookaigccomputer-visiondeep-learning
    View on GitHub↗7,434
  • amir32002/feedback-networksamir32002 avatar

    amir32002/feedback-networks

    91View on GitHub↗

    Paper: Feedback Networks, CVPR 2017.

    Lua
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Frequently asked questions

What does zck119/3dgan-release do?

3D Generative Adversarial Network

What are the main features of zck119/3dgan-release?

The main features of zck119/3dgan-release are: 3D and Spatial Synthesis, 3D Object Classification, Image Synthesis, Specialized Adversarial Applications.

Which projects share features with zck119/3dgan-release?

Projects with overlapping indexed features include: fogleman/primitive — Primitive is an algorithmic art generator and geometric image reconstruction tool that transforms raster images into… luanfujun/deep-photo-styletransfer — This project is a deep learning style transfer framework designed to apply artistic styles to photographs. It… open-mmlab/mmagic — mmagic is a multimodal training pipeline and framework for generative AI, focusing on visual synthesis and… amir32002/feedback-networks — Paper: Feedback Networks, CVPR 2017. carpedm20/simulated-unsupervised-tensorflow — TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training". borisdayma/dalle-mini — dalle-mini is a text-to-image model and generative AI system designed to transform natural language descriptions into…