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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/hnuzhy/directmhp
공식 코드DirectMHP: Direct 2D Multi-Person Head Pose Estimation with Full-range Angles
https://github.com/hnuzhy/multiaugs
공식 코드https://github.com/hnuzhy/semiuhpe
공식 코드Semi-Supervised Unconstrained Head Pose Estimation in the Wild
https://github.com/hnuzhy/ssda-yolo
공식 코드SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection
https://github.com/hoenigpeter/randomized_texturing
공식 코드https://github.com/holmesshuan/fireflow
공식 코드FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing
https://github.com/hologerry/Attr2Font
공식 코드https://github.com/holzbock/dfbf
공식 코드https://github.com/hongsukchoi/3dcrowdnet_release
공식 코드Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes
https://github.com/hongsukchoi/Pose2Mesh_RELEASE
공식 코드Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose
https://github.com/hongsukchoi/TCMR_RELEASE
공식 코드Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video
https://github.com/hongsukchoi/hsfm_release
공식 코드https://github.com/hongyehu/RG-Flow
공식 코드RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior
https://github.com/horsepurve/StyleSegor
공식 코드Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data
https://github.com/house-leo/cfdvsr
공식 코드Collaborative Feedback Discriminative Propagation for Video Super-Resolution
https://github.com/house-leo/ctun
공식 코드Cascaded Temporal Updating Network for Efficient Video Super-Resolution
https://github.com/howard1337/S2VC
공식 코드S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations
https://github.com/howiema/ppt
공식 코드PPT: token-Pruned Pose Transformer for monocular and multi-view human pose estimation
https://github.com/howiema/transfusion-pose
공식 코드TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation
https://github.com/hp-cao/6impose
공식 코드6IMPOSE: Bridging the Reality Gap in 6D Pose Estimation for Robotic Grasping
https://github.com/hpcaitech/open-sora
공식 코드https://github.com/hplqaq/sam-deblur
공식 코드https://github.com/hqhqaq/mip-adapter
공식 코드Resolving Multi-Condition Confusion for Finetuning-Free Personalized Image Generation
https://github.com/hrishavbakulbarua/gta-hdr
공식 코드GTA-HDR: A Large-Scale Synthetic Dataset for HDR Image Reconstruction
https://github.com/hritikbansal/entigen_emnlp
공식 코드How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?
https://github.com/hrussel/t-leap
공식 코드T-LEAP: Occlusion-robust pose estimation of walking cows using temporal information
https://github.com/hs-oh-prml/durflexevc
공식 코드https://github.com/hs1ang-hsu/BLAPose
공식 코드BLAPose: Enhancing 3D Human Pose Estimation with Bone Length Adjustment
https://github.com/hsp-iit/fast-ycb
공식 코드ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking
https://github.com/hsp-iit/multi-tactile-6d-estimation
공식 코드Collision-aware In-hand 6D Object Pose Estimation using Multiple Vision-based Tactile Sensors
https://github.com/hsp-iit/roft
공식 코드ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking
https://github.com/hsp-iit/sim2real-surface-classification
공식 코드Sim2Real Bilevel Adaptation for Object Surface Classification using Vision-Based Tactile Sensors
https://github.com/hu-zijing/b2-diffurl
공식 코드https://github.com/huage001/adaattn
공식 코드AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer
https://github.com/huage001/dynast
공식 코드DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.