multi-view-reconstruction

A Unified Framework for Surface Reconstruction

[NeurIPS 2023] Official code of "One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization"

A Modular Framework for 3D Gaussian Splatting and Beyond

[NeurIPS'22] MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces (CVPR 2023)

HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details (NeurIPS 2022)

[AAAI'24] NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views

[CVPR 2023] Multi-View Azimuth Stereo via Tangent Space Consistency

(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

Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects (CVPR 2025)

[IJCAI 2025] Optimized View and Geometry Distillation from Multi-view Diffuser

High-Fidelity 3D Reconstruction via Graph Optimization. A Multi-Frame Registration and reconstruction algorithm.

A lightweight neural network for multi-view classification and reconstruction.

Multi-View RGB-based Recognition and Reconstruction in PyTorch