hiyyg

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

DFTr_Voting

[ICCV'23] Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation

mesh-parameterization

Performs flattening of mesh onto the plane while maintaining a low distortion

mmdetection3d-VIN

OpenMMLab's next-generation platform for general 3D object detection.

detrex

detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.

mmcv

OpenMMLab Computer Vision Foundation

mmengine

OpenMMLab Foundational Library for Training Deep Learning Models

hiyyg/4dNDF

3D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation (CVPR 2024)

hiyyg/Depth-Anything

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

hiyyg/DNGaussian

[CVPR'24] DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization

hiyyg/DVMNet

PyTorch implementation of "DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses" (CVPR 2024)

hiyyg/EcoDepth

[CVPR'2024] Official implementation of the paper "ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation"

hiyyg/EmbodiedScan

[arXiv 2023] EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AI

hiyyg/EOT-Correspondence

[CVPR24] Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning

hiyyg/feature-3dgs

[CVPR 2024 Highlight] Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields

hiyyg/flowmap

Code for "FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent" by Cameron Smith*, David Charatan*, Ayush Tewari, and Vincent Sitzmann

hiyyg/Grasp-Anything

Dataset and Code for ICRA 2024 paper "Grasp-Anything: Large-scale Grasp Dataset from Foundation Models."

hiyyg/HouseCat6D

hiyyg/imagenet3d

hiyyg/ipd

Owner: agastyak@

hiyyg/LASA

CVPR2024 | LASA: Instance Reconstruction from Real Scans using A Large-scale Aligned Shape Annotation Dataset

hiyyg/LGD

Dataset and Code for CVPR 2024 paper "Language-driven Grasp Detection."

hiyyg/LightGaussian

"LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS", Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, Zhangyang Wang

hiyyg/Loopy-SLAM

hiyyg/LSK3DNet

This is the official implementation of "LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels" (Accepted at CVPR 2024).

hiyyg/mcloc_poseref

Official repository of the CVPR24 paper "The Unreasonable Effectiveness of Pre-Trained Features for Camera Pose Refinement"

hiyyg/nfd_code

hiyyg/NMRF

[CVPR 2024] Neural Markov Random Field for Stereo Matching

hiyyg/PoseDiffusion

[ICCV 2023] PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment

hiyyg/RAIN-GS

Code for "Relaxing Accurate Initialization Constraint for 3D Gaussian Splatting" by Jaewoo Jung, Jisang Han, Honggyu An, Jiwon Kang, Seonghoon Park, and Seungryong Kim

hiyyg/RoMa

RoMa: Robust Dense Feature Matching

hiyyg/SANeRF-HQ

[CVPR2024] SANeRF-HQ: Segment Anything for NeRF in High Quality.

hiyyg/Scaffold-GS

[CVPR 2024 Highlight] Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering

hiyyg/Situation3D

[CVPR 2024] Situational Awareness Matters in 3D Vision Language Reasoning

hiyyg/spider-match

🕷️ SpiderMatch: 3D Shape Matching with Global Optimality and Geometric Consistency

hiyyg/SplaTAM

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM (CVPR 2024)

hiyyg/tetrasphere

The official implementation of the "TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis" paper, Accepted at CVPR 2024