https://github.com/jiy173/MANA
공식 코드Memory-Augmented Non-Local Attention for Video Super-Resolution
Papers with Code 아카이브
3D Human Pose Estimation
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- 보존된 평가 기록
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3D Human Pose Estimation is a computer vision task that involves estimating the 3D positions and orientations of body joints and bones from 2D images or videos. The goal is to reconstruct the 3D pose of a person in real-time, which can be used in a variety of applications, such as virtual reality, human-computer interaction, and motion analysis.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/jjkislele/monoMotionDiff
공식 코드https://github.com/johannwyh/meat
공식 코드MEAT: Multiview Diffusion Model for Human Generation on Megapixels with Mesh Attention
https://github.com/junpan19/ETDM
공식 코드Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling
https://github.com/junpan19/RRN
공식 코드https://github.com/junpan19/RSDN
공식 코드Video Super-Resolution with Recurrent Structure-Detail Network
https://github.com/junpan19/VSR_TGA
공식 코드https://github.com/junshutang/3DFaceShop
공식 코드3DFaceShop: Explicitly Controllable 3D-Aware Portrait Generation
https://github.com/junwuzhang19/repaint123
공식 코드https://github.com/justimyhxu/grm
공식 코드GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation
https://github.com/jutanke/mv3dpose
공식 코드Iterative Greedy Matching for 3D Human Pose Tracking from Multiple Views
https://github.com/juyongchang/PoseLifter
공식 코드PoseLifter: Absolute 3D human pose lifting network from a single noisy 2D human pose
https://github.com/juzezhang/ikol
공식 코드https://github.com/karlygzhu/rgan
공식 코드A Lightweight Recurrent Grouping Attention Network for Video Super-Resolution
https://github.com/kartikgupta-at-anu/CullNet
공식 코드CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation
https://github.com/kasvii/gator
공식 코드https://github.com/kasvii/pmce
공식 코드Co-Evolution of Pose and Mesh for 3D Human Body Estimation from Video
https://github.com/khb1698/drpose
공식 코드Diffusion-based Pose Refinement and Muti-hypothesis Generation for 3D Human Pose Estimaiton
https://github.com/kimsure/tcnet-for-vsr
공식 코드Temporal Consistency Learning of inter-frames for Video Super-Resolution
https://github.com/kiteretsu77/vcisr-official
공식 코드VCISR: Blind Single Image Super-Resolution with Video Compression Synthetic Data
https://github.com/kkakkkka/MambaTalk
공식 코드MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models
https://github.com/kuis-ai-tekalp-research-group/perceptual-vsr
공식 코드Spatio-Temporal Perception-Distortion Trade-off in Learned Video SR
https://github.com/kwanyun/LeGO_code
공식 코드https://github.com/kyungminjin/hanet
공식 코드Kinematic-aware Hierarchical Attention Network for Human Pose Estimation in Videos
https://github.com/labshuhanggu/lrti-vsr
공식 코드https://github.com/labshuhanggu/mia-vsr
공식 코드Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention
https://github.com/laurabragagnolo/human3.6m-occluded
공식 코드Multi-view Pose Fusion for Occlusion-Aware 3D Human Pose Estimation
https://github.com/leoxiaobin/deep-high-resolution-net.pytorch
공식 코드Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/levenberg/2D-3D-pose-tracking
공식 코드Monocular Camera Localization in Prior LiDAR Maps with 2D-3D Line Correspondences
https://github.com/limaosen0/AS-GCN
공식 코드Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition
https://github.com/lin-jinwei/OneTo3D
공식 코드OneTo3D: One Image to Re-editable Dynamic 3D Model and Video Generation
https://github.com/linjing7/VR-Baseline
공식 코드Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration
https://github.com/littlewhitesea/STDAN
공식 코드STDAN: Deformable Attention Network for Space-Time Video Super-Resolution
https://github.com/liuyangme/sota-3dhpe-hmr
공식 코드Deep learning for 3D human pose estimation and mesh recovery: A survey
https://github.com/liuyuan-pal/syncdreamer
공식 코드SyncDreamer: Generating Multiview-consistent Images from a Single-view Image
https://github.com/llcshappy/Monocular-3D-Human-Pose
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.