[ICCV-2023] Official code for work "HumanMAC: Masked Motion Completion for Human Motion Prediction".

pose-prediction 开源项目推荐(11 个)
pose-prediction 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 11
GitHub 共 11 个仓库,已全部展示我们在不同数据集(包括ShapeNet、CUB-200-2011和Pascal3D+)上评估了我们的方法,并取得了最先进的结果,在性能、准确性和训练时间方面均优于所有其他监督和非监督方法及三维表示。
[ICCV2023] Official PyTorch Implementation of "BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction". ICCV 2023
[ECCV 2020] Official PyTorch Implementation of "DLow: Diversifying Latent Flows for Diverse Human Motion Prediction". ECCV 2020.
Code and notebook for our paper "Assessing interaction recovery of predicted protein-ligand poses"
Comprehensive ensembling of protein-ligand structure and affinity prediction methods (CASP16)
A Set of Machine Learning Classifiers For RNA Containing Complexes
A measured benchmark of three docking scoring functions on 308 protein-ligand complexes, reporting pose accuracy and physical validity together, with the success rate recomputed after removing the crystal starting conformer and the ligand-centred search box.
Do structural priors help a co-folding model? PLIP constraints from crystals and DiffDock poses, fed to Boltz-2 and measured against an unconstrained baseline.
Fine-tuning OpenFold3 (4.0.0) for PDE10A protein–ligand pose prediction via distribution-aware PDB-scale data augmentation: +0.20 PL LDDT, −2.3 Å ligand RMSD on held-out.
This project predicts future human body poses from past pose sequences using the SMPL model encoded via VPoser. We model the task as a time-series prediction in VPoser latent space using a bidirectional GRU encoder-decoder.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 11 个项目;原始页面见 https://github.com/topics/pose-prediction。
- 该话题在 GitHub 上共有 11 个仓库, 本站收录的是其中最热门的 11 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 11 个项目累计 884 Star,覆盖 3 种主要语言,数据更新于 2026-11-08。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。