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laughtervv avatar

laughtervv/DISN

0
View on GitHub↗
310 stars·47 forks·Python·MIT·10 views

DISN

DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction

Features

  • Generative 3D Modeling - Implements deep implicit surface networks for single-view reconstruction.
  • Object Reconstruction - Implicit surface network for high-quality single-view reconstruction.

Star history

Star history chart for laughtervv/disnStar history chart for laughtervv/disn

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Open-source alternatives to DISN

Similar open-source projects, ranked by how many features they share with DISN.
  • cvlab-epfl/uclid-netcvlab-epfl avatar

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    This repository is the official implementation of UCLID-Net: Single View Reconstruction in Object Space (NeurIPS 2020).

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  • tangjiapeng/skeletonbridgerecontangjiapeng avatar

    tangjiapeng/SkeletonBridgeRecon

    78View on GitHub↗

    This repository constains the codes and ShapeNet-Skeleton.zip datasets for the Paper.

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    View on GitHub↗78
  • openai/shap-eopenai avatar

    openai/shap-e

    12,251View on GitHub↗

    Shap-E is a generative 3D modeling system that creates three-dimensional digital assets from natural language descriptions or two-dimensional images. It functions as a generative model capable of producing three-dimensional implicit functions and assets. The project includes a 3D latent encoder that converts trimeshes and 3D models into latent representations using point clouds and multiview renders. It utilizes an image-to-3D generator to produce assets from synthetic view images and a text-to-3D generator to build shapes from text prompts. The system implements a pipeline involving latent

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    View on GitHub↗12,251
  • threestudio-project/threestudiothreestudio-project avatar

    threestudio-project/threestudio

    7,027View on GitHub↗

    Threestudio is a 3D generative AI framework designed to create three-dimensional assets from text prompts and images. It provides specialized pipelines for text-to-3D generation and image-to-3D reconstruction, utilizing a neural radiance field trainer to produce geometry and textures. The framework is distinguished by its support for hybrid geometry backends, including signed distance functions, tetrahedra grids, and volume grids. It employs score distillation sampling to guide the generation process and features a modular plugin system for loading custom modules and nodes. The system covers

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See all 30 alternatives to DISN→

Frequently asked questions

What does laughtervv/disn do?

DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction

What are the main features of laughtervv/disn?

The main features of laughtervv/disn are: Generative 3D Modeling, Object Reconstruction.

What are some open-source alternatives to laughtervv/disn?

Open-source alternatives to laughtervv/disn include: cvlab-epfl/uclid-net — This repository is the official implementation of UCLID-Net: Single View Reconstruction in Object Space (NeurIPS 2020). tangjiapeng/skeletonbridgerecon — This repository constains the codes and ShapeNet-Skeleton.zip datasets for the Paper. threestudio-project/threestudio — Threestudio is a 3D generative AI framework designed to create three-dimensional assets from text prompts and images.… openai/shap-e — Shap-E is a generative 3D modeling system that creates three-dimensional digital assets from natural language… microsoft/trellis — TRELLIS is a 3D generative AI model and latent diffusion framework designed to transform natural language descriptions… nv-tlabs/get3d — GET3D is a generative 3D mesh model and rendering framework designed to synthesize high-quality textured shapes and…