GaussianObject: Just Taking Four Images to Get a High-Quality 3D Object

• SuGaR

  2 1,710 7.3 C++

  [CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering (by Anttwo)

As with all NeRFs and Gaussian Splatting, there is no classical mesh data. But there are projects and papers working on the extracting process. Specifically for Gaussian Splatting there is SuGaR. [1]

[1] https://github.com/Anttwo/SuGaR

• LGM

  2 1,301 6.6 Python

  LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.

  

I wonder how this compares to LGM outputs which also came out recently - https://github.com/3DTopia/LGM - specifically LGM looks like it's generating the additional viewpoints from text or an image and then creating a mesh whereas GaussianObject seems to require 4 viewpoints.

We're getting closer to workflows that can generate good 3d objects and texture them with diffusion models, there's a bit of work in integrating these into existing tooling though - also, animations and rigging for characters still seems to be a big issue (at least I haven't seen any good 3d generation models that can create rigged characters yet).

• InfluxDB

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  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• GaussianObject

  1 620 6.8 Python

  Code for "GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object with Gaussian Splatting"

The link is broken for me (may be a transient error), alternative: https://github.com/GaussianObject/GaussianObject

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