https://github.com/Arthur151/DSD-SATN
공식 코드Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation
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Human Mesh Recovery
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Estimate 3D body mesh from images
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
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
https://github.com/cptdiaos/multi-roi
공식 코드Multi-RoI Human Mesh Recovery with Camera Consistency and Contrastive Losses
https://github.com/eternalevan/dpmesh
공식 코드DPMesh: Exploiting Diffusion Prior for Occluded Human Mesh Recovery
https://github.com/fmx789/meta-hmr
공식 코드Incorporating Test-Time Optimization into Training with Dual Networks for Human Mesh Recovery
https://github.com/geopavlakos/multishot
공식 코드https://github.com/hanbyel0105/diff-hmr
공식 코드Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models
https://github.com/huawei-noah/noah-research/tree/master/CLIFF
공식 코드CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
https://github.com/idea-research/motion-x
공식 코드Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset
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/liuyangme/sota-3dhpe-hmr
공식 코드Deep learning for 3D human pose estimation and mesh recovery: A survey
https://github.com/meaten/HMRinCloseProximity
공식 코드Multimodal Active Measurement for Human Mesh Recovery in Close Proximity
https://github.com/moonbow721/dposer
공식 코드https://github.com/naver/multi-hmr
공식 코드Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot
https://github.com/nkolot/ProHMR
공식 코드https://github.com/nvlabs/glamr
공식 코드GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras
https://github.com/opengvlab/hulk
공식 코드Hulk: A Universal Knowledge Translator for Human-Centric Tasks
https://github.com/opengvlab/humanbench
공식 코드Hulk: A Universal Knowledge Translator for Human-Centric Tasks
https://github.com/openxrlab/xrfeitoria
공식 코드SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling
https://github.com/poker-xu/ssr-stf
공식 코드Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation
https://github.com/saidwivedi/TokenHMR
공식 코드TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation
https://github.com/sanweiliti/EgoHMR
공식 코드Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views
https://github.com/shenwenhao01/adhmr
공식 코드ADHMR: Aligning Diffusion-based Human Mesh Recovery via Direct Preference Optimization
https://github.com/shubham-goel/4D-Humans
공식 코드Humans in 4D: Reconstructing and Tracking Humans with Transformers
https://github.com/smplbody/hmr-benchmarks
공식 코드Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithms
https://github.com/soullessrobot/lidar-hmr
공식 코드https://github.com/statho/scorehmr
공식 코드https://github.com/tangtao-pku/arts
공식 코드https://github.com/tinatiansjz/hmr-survey
공식 코드https://github.com/twehrbein/humr
공식 코드Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery
https://github.com/wangkua1/nemo-cvpr2023
공식 코드NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action
https://github.com/wangsen1312/unsupervised3dhuman
공식 코드Self-supervised 3D Human Mesh Recovery from Noisy Point Clouds
https://github.com/xiaobenli00/u-hmr
공식 코드https://github.com/xljh0520/jotr
공식 코드JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.