Maolin's repositories
awesome-Implicit-NeRF-SLAM
A comprehensive list of Implicit Representations and NeRF papers relating to SLAM/Robotics domain, including papers, video, codes, and related websites
awesome-NeRF
A curated list of awesome neural radiance fields papers
cv-arxiv-daily
🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)
DONERF
Code for "DONeRF Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks"
DSNeRF
Code release for DS-NeRF (Depth-supervised Neural Radiance Fields)
ENeRF
Real-time novel view synthesis for dynamic scenes.
Ha-NeRF
Ha-NeRF (Hallucinated Neural Radiance Fields in the Wild) using pytorch.
IMT_Mapping
[RAL 2022] SE(3)-Transformation on Neural Implicit Maps for Remapping Functions (NIM-T remapping = NIMTRE)
MVSNet_pytorch
PyTorch Implementation of MVSNet
nerf
Code release for NeRF (Neural Radiance Fields)
nerf-pytorch
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
NeRF-SLAM
Real-Time Dense Monocular SLAM with Neural Radiance Fields. https://arxiv.org/abs/2210.13641 + Sigma-Fusion: Probabilistic Volumetric Fusion for Dense Monocular SLAM https://arxiv.org/abs/2210.01276
nerf2mesh
Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement
nerfacc
A General NeRF Acceleration Toolbox in PyTorch.
nerfmm
(Arxiv 2021) NeRF--: Neural Radiance Fields Without Known Camera Parameters
NeuS
Code release for NeuS
nice-slam
[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM
OpenWork
单目视觉里程计python
ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
pytorch-cppcuda-tutorial
tutorial for writing custom pytorch cpp+cuda kernel, applied on volume rendering (NeRF)
READ
AAAI2023,implementation of "READ: Large-Scale Neural Scene Rendering for Autonomous Driving", the experimental results are significantly better than Nerf-based methods
SceneRF
Official implementation of "SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields"
slambook2
edition 2 of the slambook
Vox-Fusion
Code for "Dense Tracking and Mapping with Voxel-based Neural Implicit Representation", ISMAR 2022