46 Open source projects that are alternatives of or similar to improved-nerfmm

Embed human pose information into neural radiance fields (NeRF) to render images of humans in desired poses 🏃 from novel views

Code release for DS-NeRF (Depth-supervised Neural Radiance Fields)

Collecting papers about new view synthesis

🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)

Code release for NeRF (Neural Radiance Fields)

No description or website provided.

Research tools for autonomous systems in Python

[ ICCV 2021 Oral ] Our method can estimate camera poses and neural radiance fields jointly when the cameras are initialized at random poses in complex scenarios (outside-in scenes, even with less texture or intense noise )

Multimodal Image Synthesis and Editing: A Survey

DIY Call of Duty Warzone controller built using a nerf gun powered by the Raspberry Pi 4.

A self-reliant tutorial on Structure-from-Motion

Making Structure-from-Motion (COLMAP) more robust to symmetries and duplicated structures

Official Repo for the paper "Extremely Dense Point Correspondences using a Learned Feature Descriptor" (CVPR 2020)

3D-aware GANs based on NeRF (arXiv).

[CVPR2022] Neural Rays for Occlusion-aware Image-based Rendering

[ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis.

Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.

[ICCV21] Self-Calibrating Neural Radiance Fields

The old implementation of GraphSfM based on openMVG.

A readable implementation of structure-from-motion

Code for "HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields".

A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.

DeepTAM: Deep Tracking and Mapping https://lmb.informatik.uni-freiburg.de/people/zhouh/deeptam/

A large scale non-linear optimization library

An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.

Photogrammetric Computer Vision Framework

Monocular Structure from Motion

kapture is a file format as well as a set of tools for manipulating datasets, and in particular Visual Localization and Structure from Motion data.

UAV-Mapper is a lightweight UAV Image Processing System, Visual SFM reconstruction or Aerial Triangulation, Fast Ortho-Mosaic, Plannar Mosaic, Fast Digital Surface Map (DSM) and 3d reconstruction for UAVs.

Bundler Structure from Motion Toolkit

3D modeling from uncalibrated images

Visual localization made easy with hloc

A list of awesome learning-based multi-view stereo papers

3D Reconstruction Software

Fast computer vision library for SFM, calibration, fiducials, tracking, image processing, and more.

An open source library for multiview geometry and structure from motion

DeMoN: Depth and Motion Network

open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

Addon to import different photogrammetry formats into Blender

A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷

Distributed and Graph-based Structure from Motion

COLMAP is a general-purpose Structure-from-Motion (SfM) and Multi-View Stereo (MVS) pipeline with a graphical and command-line interface. It offers a wide range of features for reconstruction of ordered and unordered image collections. The software is licensed under the new BSD license. If you use this project for your research, please cite:

Provide mapping and localization pipelines based on kapture format

Instant neural graphics primitives: lightning fast NeRF and more

Lightning fast & tiny C++/CUDA neural network framework

[ICCV 2021 Oral] NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo