MonoDepth PyTorch
OniroAI
Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch
OPENAGENTSKILL / DIRECTORY
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17–32 / 36
Results: 36
OniroAI
Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch
GengDavid
A PyTorch re-implementation of CPN (Cascaded Pyramid Network for Multi-Person Pose Estimation)
mks0601
Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019
JiawangBian
SC-Depth (V1, V2, and V3) for Unsupervised Monocular Depth Estimation Webpage:https://jiawangbian.github.io/sc_depth_pl/
Tobias-Fischer
RT-GENE: Real-Time Eye Gaze and Blink Estimation in Natural Environments
JunkyByte
Easy and fast 2d human and animal multi pose estimation using SOTA ViTPose [Y. Xu et al., 2022] Real-time performances and multiple skeletons supported.
zubair-irshad
Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"
baegwangbin
[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
utiasASRL
The Simultaneous Trajectory Estimation and Mapping (STEAM) Engine.
realsenseai
:wave: :ok_hand: research codebase for depth-based hand pose estimation using dynamics based tracking and CNNs
nianticlabs
[CVPR 2020] Estimation of the visible and hidden traversable space from a single color image
laboshinl
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
una-dinosauria
A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.
NickSwardh
YoloDotNet - A C# .NET 8.0 project for Classification, Object Detection, OBB Detection, Segmentation and Pose Estimation in both images and live video streams.
twhui
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)
dcmlr
Source code for the article "GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation"
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