Found 52 repositories(showing 30)
j96w
"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository
baaivision
DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception
Sciencethebird
6D pose estimation network(DenseFusion) + Panda robot arm simulator(GAZEBO, ROS) pick and place demo
MyoungHaSong
No description available
youkenhou
Note about DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
oorrppp2
No description available
HaofeiMa
No description available
ccccmd
No description available
EasonEdison
Fork from https://github.com/j96w/DenseFusion, increase some annotation with Chinese and English
lijunyang22
copy from DenseFuison-1
Qind1609
an Architecture from Stanford Univerisity AI lab. I am re-implementing this architecture for my own dataset and for nvidia_FAT dataset
Theopetitjean
No description available
Pan-panpan
"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository
Ewz9
No description available
kyg1552
No description available
arth-shukla
No description available
Geniusly-Stupid
UMICH EECS568 Mobile Robotics Final Project - Simultaneous Dense Map Construction using RGB + LiDAR information
wangzihanggg
AUC and <2cm metrics used to evaluate DenseFusion
darewolf007
DenseFusion used for Featurize train to get baseline
camilletaglione
No description available
longobucco
End-to-end pipeline for 6D object pose estimation on LineMOD, including an RGB-only baseline (YOLO + ResNet50 quaternion regressor) and an RGB-D extension inspired by DenseFusion. Features: YOLO detection, RGB/RGB-D pose estimation, mAP and ADD evaluation, full comparison between baseline and fusion model.
RiplleYang
No description available
No description available
oorrppp2
No description available
masachika-kamada
https://github.com/j96w/DenseFusionのPytorch-1.0ブランチを改良
deepakshankar94
No description available
qingchenkanlu
No description available
alexisgroshenry
No description available
alessandro-benvenuti
Robust 6D Pose Estimation pipeline integrating YOLO and custom regressive networks on RGB-D data. Leverages PointNet and Late DenseFusion strategies for precise geometric feature extraction.
jamiurrahman
No description available