Augusthyq's Stars
spacewalk01/depth-anything-tensorrt
TensorRT implementation of Depth-Anything V1, V2
LiheYoung/Depth-Anything
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
google-research/deeplab2
DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.
zju3dv/street_gaussians
[ECCV 2024] Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting
PJLab-ADG/neuralsim
neuralsim: 3D surface reconstruction and simulation based on 3D neural rendering.
Fernweh-yang/Reading-Notes
所有的学习笔记(理论+相关代码)
lif314/awesome-NeRF-papers
All NeRF-related papers at CVPR/ICCV/ECCV/NIPS/ICML/ICLR
eriksandstroem/Point-SLAM
Point-SLAM: Dense Neural Point Cloud-based SLAM
Xharlie/pointnerf
Point-NeRF: Point-based Neural Radiance Fields
DoongLi/awesome-Implicit-NeRF-SLAM
A comprehensive list of Implicit Representations, NeRF and 3D Gaussian Splatting papers relating to SLAM/Robotics domain, including papers, videos, codes, and related websites
SysCV/idisc
iDisc: Internal Discretization for Monocular Depth Estimation [CVPR 2023]
lukasHoel/text2room
Text2Room generates textured 3D meshes from a given text prompt using 2D text-to-image models (ICCV2023).
baegwangbin/surface_normal_uncertainty
[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
baegwangbin/IronDepth
[BMVC 2022] IronDepth: Iterative Refinement of Single-View Depth using Surface Normal and its Uncertainty
rubengooj/pl-slam
This code contains an algorithm to compute stereo visual SLAM by using both point and line segment features.
mattpoggi/mono-uncertainty
CVPR 2020 - On the uncertainty of self-supervised monocular depth estimation
luigifreda/plvs
PLVS is a real-time SLAM system with points, lines, volumetric mapping and 3D unsupervised incremental segmentation.
zhang-tao-whu/DVIS
DVIS: Decoupled Video Instance Segmentation Framework
codingonion/awesome-yolo-object-detection
🚀🚀🚀 A collection of some awesome public YOLO object detection series projects.
nicolaihaeni/MinneApple
A Benchmark Dataset for Apple Detection and Segmentation
MarvinChung/Orbeez-SLAM
electech6/NeRF-Based-SLAM-Incredible-Insights
dazinovic/neural-rgbd-surface-reconstruction
Official implementation of the CVPR 2022 Paper "Neural RGB-D Surface Reconstruction"
silviutroscot/CodeSLAM
Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
google/mipnerf
kwea123/ngp_pl
Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)
kwea123/nerf_pl
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
NVlabs/instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
ethz-asl/rovio
fundamentalvision/Deformable-DETR
Deformable DETR: Deformable Transformers for End-to-End Object Detection.