https://github.com/Guanghan/lighttrack
공식 코드LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/GuidoManni/BodySLAM
공식 코드BodySLAM: A Generalized Monocular Visual SLAM Framework for Surgical Applications
https://github.com/HBioquant/DiffBindFR
공식 코드DiffBindFR: An SE(3) Equivariant Network for Flexible Protein-Ligand Docking
https://github.com/HDCVLab/Deblurring-by-Realistic-Blurring
공식 코드https://github.com/HDCVLab/MC-Blur-Dataset
공식 코드https://github.com/HDETR/H-Deformable-DETR
공식 코드https://github.com/HDETR/H-Deformable-DETR-mmdet
공식 코드https://github.com/HDETR/H-Detic-LVIS
공식 코드https://github.com/HDETR/H-PETR-3D
공식 코드https://github.com/HDETR/H-PETR-Pose
공식 코드https://github.com/HKUST-Aerial-Robotics/ESVO
공식 코드https://github.com/HKUST-Aerial-Robotics/VINS-Fusion
공식 코드A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors
https://github.com/HKUST-Aerial-Robotics/VINS-Mono
공식 코드Relocalization, Global Optimization and Map Merging for Monocular Visual-Inertial SLAM
https://github.com/HLR/FoREST
공식 코드FoREST: Frame of Reference Evaluation in Spatial Reasoning Tasks
https://github.com/HLTSingapore/Emotional-Speech-Data
공식 코드Seen and Unseen emotional style transfer for voice conversion with a new emotional speech dataset
https://github.com/HMX2013/Covex-hull-based-fitting-3D-LiDAR-ROS
공식 코드An Efficient Convex Hull-based Vehicle Pose Estimation Method for 3D LiDAR
https://github.com/HRNet/DEKR
공식 코드Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression
https://github.com/HRNet/HRFormer
공식 코드https://github.com/HRNet/HRNet-Bottom-Up-Pose-Estimation
공식 코드Bottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates
https://github.com/HRNet/Higher-HRNet-Human-Pose-Estimation
공식 코드HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
https://github.com/HRNet/Lite-HRNet
공식 코드https://github.com/HSarham/automatic-ar
공식 코드Simultaneous Multi-View Camera Pose Estimation and Object Tracking with Square Planar Markers
https://github.com/HYOJINPARK/MC_GAN
공식 코드MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis
https://github.com/Hangz-nju-cuhk/Talking-Face_PC-AVS
공식 코드Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation
https://github.com/HaydenCaffrey/SIG-VC
공식 코드https://github.com/HeCraneChen/3D-Crowd-Pose-Estimation-Based-on-MVG
공식 코드Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry
https://github.com/Healthcare-Robotics/bodies-at-rest
공식 코드Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data
https://github.com/HeathArhturLouis/Rethinking-Molecular-Design-Integrating-Latent-Variable-and-Autoregressive-Models-for-Enhanced-Goal
공식 코드https://github.com/HendrikMuenster/superResolution
공식 코드https://github.com/HoinJung/Unified-Debiaisng-VLM-SFID
공식 코드A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks
https://github.com/Holmes-Alan/ST-VAE
공식 코드https://github.com/Holmes-Alan/TxST
공식 코드Name Your Style: An Arbitrary Artist-aware Image Style Transfer
https://github.com/HolmesShuan/Zero-shot-Style-Transfer-via-Attention-Rearrangement
공식 코드https://github.com/Holmeswww/PPOGAN
공식 코드Improving GAN Training with Probability Ratio Clipping and Sample Reweighting
https://github.com/HongwenZhang/DaNet-DensePose2SMPL
공식 코드https://github.com/HongwenZhang/PyMAF
공식 코드PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.