Papers with Code 아카이브
3D Multi-Person Mesh Recovery
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 8
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/IDEA-Research/OSX
공식 코드One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer
https://github.com/YadiraF/PIXIE
공식 코드Collaborative Regression of Expressive Bodies using Moderation
https://github.com/boycehbz/GroupRec
공식 코드Reconstructing Groups of People with Hypergraph Relational Reasoning
https://github.com/caizhongang/SMPLer-X
공식 코드SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation
https://github.com/naver/multi-hmr
공식 코드Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot
https://github.com/nicolasugrinovic/size_depth_disambiguation
공식 코드Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images
https://github.com/pixelite1201/agora_evaluation
공식 코드AGORA: Avatars in Geography Optimized for Regression Analysis
https://github.com/ttxskk/AiOS
공식 코드AiOS: All-in-One-Stage Expressive Human Pose and Shape Estimation
https://github.com/vchoutas/expose
공식 코드Monocular Expressive Body Regression through Body-Driven Attention
https://github.com/vchoutas/smplify-x
공식 코드Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
https://github.com/cai-jianfeng/ROMP_mindspore
https://github.com/wqyin/smplest-x
SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.