Official implementation of the paper "Gaussian in the Wild: 3D Gaussian Splatting for Unconstrained Image Collections"

A State-Space Model with Rational Transfer Function Representation.

Official implementation of Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image

Implementation of the paper "3D Gaussian Splatting as Markov Chain Monte Carlo"

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

[CVPR'23] Learning Neural Parametric Head Models

[ECCV 2024] The official repo for "Texture-GS: Disentangling the Geometry and Texture for 3D Gaussian Splatting Editing"

GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling

RaDe-GS: Rasterizing Depth in Gaussian Splatting

Official implementation of Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion

Gaussian Painters using 3D Gaussian Splatting

From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"

Official PyTorch implementation of "G-NeRF: Geometry-enhanced Novel View Synthesis from Single-View Images" (CVPR 2024)

Source code of paper "NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer"

[CVPR 2024 - Oral] Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences

Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention

Deep Declarative Networks

Differentiable Top-k Classification Learning

A Python module implementing some standard algorithms used in nonlinear time series analysis

Time series analysis suite

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Differentiable bitonic sorting

Neural Nearest Neighbors Networks (NIPS*2018)

Differentiable Tree Machine

PyTorch Implementation of the ICCV 2023 paper: Generalized Differentiable RANSAC ($\nabla$-RANSAC).