Stars
A repository on how to understand the theory of 3D Gaussians Splatting
The official implementation of paper "Diff-DEM: A Diffusion Probabilistic Approach to Digital Elevation Model Void Filling"
Official PyTorch implementation of ICCV 2023 paper: E3Sym: Leveraging E(3) Invariance for Unsupervised 3D Planar Reflective Symmetry Detection.
[ECCV 2024] RoofDiffusion: Constructing Roofs from Severely Corrupted Point Data via Diffusion
A collection of papers on neural field-based inverse rendering.
[CVPR 2024] Official implementation of "Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction"
[CVPR 2024] GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting
Official implementation of "Mesh-Based Adapting and Modification of Gaussian Splatting"
image registration related books, papers, videos, and toolboxes
High Quality Monocular Depth Estimation via Transfer Learning
Finding Good Configurations of Planar Primitives, CVPR2022. Code from https://team.inria.fr/titane/software/
The official PyTorch implementation for "Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End"
MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips
A course for getting started with geometry processing using Python, Gpytoolbox, and Polyscope
Convert Machine Learning Code Between Frameworks
A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm
💭 Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).
A technical report on convolution arithmetic in the context of deep learning
📸 Automate capturing screenshots of apps and windows on macOS
Auto feed video frame into PIFu to generate and render a sequence of 3D human models
Face touching activity recognition using dynamic time warping (DTW) and nested cross validation