Akash Sengupta's repositories
HierarchicalProbabilistic3DHuman
Code repository for the paper: Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild (ICCV 2021)
STRAPS-3DHumanShapePose
Code repository for the paper: Synthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild (BMVC 2020)
HuManiFlow
[CVPR 2023] Code repository for HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation
3D-Multibodies
Code for paper 3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data
cvpr-latex-template
Extended LaTeX template for CVPR/ICCV papers
DaNet-3DHumanReconstruction
Code for "Learning 3D Human Shape and Pose from Dense Body Parts"
detectron2
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
diffhuman
Project page for the CVPR 2024 paper: "DiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans"
DynaBOA
Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation
expose
ExPose - EXpressive POse and Shape rEgression
FLAME_PyTorch
This is a implementation of the 3D FLAME model in PyTorch
HybrIK
Official code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021
I2L-MeshNet_RELEASE
Official PyTorch implementation of "I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image", ECCV 2020
MEVA
Official implementation of ACCV 2020 paper "3D Human Motion Estimation via Motion Compression and Refinement" (Identical repo to https://github.com/KlabCMU/MEVA, will be kept in sync)
PARE
Code for ICCV2021 paper PARE: Part Attention Regressor for 3D Human Body Estimation
phd-thesis-template
A LaTeX / XeLaTeX / LuaLaTeX PhD thesis template for Cambridge University Engineering Department (CUED)
ProHMR
Repository for "Probabilistic Modeling for Human Mesh Recovery"
relie
Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups
ROMP
Monocular, One-stage, Regression of Multiple 3D People, ROMP[ICCV21], BEV[CVPR22]
SPEC
Code for ICCV2021 paper SPEC: Seeing People in the Wild with an Estimated Camera
TCMR_RELEASE
Official Pytorch implementation of "Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video", CVPR 2021