mgholamikn's Stars
lbidulka/ESCAPE
mgholamikn/GOLD
[NAACL 2024] GOLD: Generalized Knowledge Distillation via Out-of-Distribution-Guided Language Data Generation
mgholamikn/PoseGen
[AAAI 2024] PoseGen: Learning to Generate 3D Human Pose Datasets with NeRF
mgholamikn/ETran
[ICCV2023] ETran: Energy-based Transferability Estimation
mgholamikn/WeakPDGait
[MIA 2023] Automatic labeling of Parkinson’s Disease gait videos with weak supervision
jeffffffli/HybrIK
Official code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021
LemonATsu/A-NeRF
Pytorch implementation for A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose
HongwenZhang/PyMAF
[ICCV 2021, Oral] PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop
chungyiweng/humannerf
HumanNeRF turns a monocular video of moving people into a 360 free-viewpoint video.
mks0601/NeuralAnnot_RELEASE
3D Pseudo-GTs of "NeuralAnnot: Neural Annotator for 3D Human Mesh Training Sets", CVPRW 2022 Oral.
mgholamikn/AdaptPose
[CVPR 2022] AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generation
hongsukchoi/Pose2Mesh_RELEASE
Official Pytorch implementation of "Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose", ECCV 2020
jfzhang95/PoseAug
[CVPR 2021] PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation, (Oral, Best Paper Award Finalist)
mks0601/3DMPPE_ROOTNET_RELEASE
Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019
zju3dv/animatable_nerf
Code for "Animatable Implicit Neural Representations for Creating Realistic Avatars from Videos" TPAMI 2024, ICCV 2021
zju3dv/neuralbody
Code for "Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans" CVPR 2021 best paper candidate
facebookresearch/drqv2
DrQ-v2: Improved Data-Augmented Reinforcement Learning