Pinned Repositories
bop_toolkit
A Python toolkit of the BOP benchmark for 6D object pose estimation.
cnos
[ICCV 2023 R6D] PyTorch implementation of CNOS: A Strong Baseline for CAD-based Novel Object Segmentation based on Segmenting Anything and DINOv2
D-FINE
D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement 💥💥💥
DataWhale-
DataWhale
FoundationPose
[CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
gaussian-splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
gdrnpp_bop2022
PyTorch Implementation of GDRNPP, winner (most of the awards) of the BOP Challenge 2022 at ECCV'22
NIDS-Net
NIDS-Net: A unified framework for novel instance detection and segmentation
Real3DPortrait
Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesis; ICLR 2024 Spotlight; Official code
SAM-6D
[CVPR2024] Code for "SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation".
siriuswi's Repositories
siriuswi/bop_toolkit
A Python toolkit of the BOP benchmark for 6D object pose estimation.
siriuswi/cnos
[ICCV 2023 R6D] PyTorch implementation of CNOS: A Strong Baseline for CAD-based Novel Object Segmentation based on Segmenting Anything and DINOv2
siriuswi/D-FINE
D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement 💥💥💥
siriuswi/DataWhale-
DataWhale
siriuswi/FoundationPose
[CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
siriuswi/gaussian-splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
siriuswi/gdrnpp_bop2022
PyTorch Implementation of GDRNPP, winner (most of the awards) of the BOP Challenge 2022 at ECCV'22
siriuswi/NIDS-Net
NIDS-Net: A unified framework for novel instance detection and segmentation
siriuswi/Real3DPortrait
Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesis; ICLR 2024 Spotlight; Official code
siriuswi/SAM-6D
[CVPR2024] Code for "SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation".
siriuswi/sam2
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
siriuswi/SAM2-UNet
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation
siriuswi/samurai
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"