A Modular Framework for 3D Gaussian Splatting and Beyond
-
Updated
May 22, 2024 - Jupyter Notebook
A Modular Framework for 3D Gaussian Splatting and Beyond
Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects
PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces (CVPR 2023)
[NeurIPS 2023] Official code of "One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization"
[AAAI'24] NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views
(Arxiv 2023) Optimized View and Geometry Distillation from Multi-view Diffuser
High-Fidelity 3D Reconstruction via Graph Optimization. A Multi-Frame Registration and reconstruction algorithm.
(PG2023/CGF) This is the official PyTorch implementation of PG2023/CGF paper: GA-Sketching: Shape Modeling from Multi-View Sketching with Geometry-Aligned Deep Implicit Functions
A Unified Framework for Surface Reconstruction
Multi-View RGB-based Recognition and Reconstruction in PyTorch
[NeurIPS'22] MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
[CVPR 2023] Multi-View Azimuth Stereo via Tangent Space Consistency
A lightweight neural network for multi-view classification and reconstruction.
HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details (NeurIPS 2022)
Add a description, image, and links to the multi-view-reconstruction topic page so that developers can more easily learn about it.
To associate your repository with the multi-view-reconstruction topic, visit your repo's landing page and select "manage topics."