nicolasugrinovic

nicolasugrinovic's Stars

• BandaiNamcoResearchInc/Bandai-Namco-Research-Motiondataset

  This repository provides motion datasets collected by Bandai Namco Research Inc

  Language:Python3.1k4410376

• compphoto/BoostingMonocularDepth

  Language:Python1.5k2960203

• Arthur151/ROMP

  Monocular, One-stage, Regression of Multiple 3D People and their 3D positions & trajectories in camera & global coordinates. ROMP[ICCV21], BEV[CVPR22], TRACE[CVPR2023]

  Language:Python1.3k41481229

• facebookresearch/omni3d

  Code release for "Omni3D A Large Benchmark and Model for 3D Object Detection in the Wild"

  Language:Python720225465

• Daniil-Osokin/lightweight-human-pose-estimation-3d-demo.pytorch

  Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on CPU.

  Language:Python6601893138

• eth-ait/aitviewer

  A set of tools to visualize and interact with sequences of 3D data.

  Language:Python563134649

• davrempe/humor

  Code for ICCV 2021 paper "HuMoR: 3D Human Motion Model for Robust Pose Estimation"

  Language:Python516165069

• garyzhao/SemGCN

  The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019).

  Language:Python468115878

• vye16/slahmr

  Language:Python462175250

• weigq/3d_pose_baseline_pytorch

  A simple baseline for 3d human pose estimation in PyTorch.

  Language:Python36684565

• NVlabs/GLAMR

  [CVPR 2022 Oral] Official PyTorch Implementation of "GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras”.

  Language:Python355254032

• sanweiliti/RoHM

  The official PyTorch code for RoHM: Robust Human Motion Reconstruction via Diffusion.

  Language:Python313232415

• brjathu/PHALP

  Code repository for the paper "Tracking People by Predicting 3D Appearance, Location & Pose". (CVPR 2022 Oral)

  Language:Python291104245

• mkocabas/SPEC

  Code for ICCV2021 paper SPEC: Seeing People in the Wild with an Estimated Camera

  Language:Python228121731

• facebookresearch/InterWild

  Official PyTorch implementation of "Bringing Inputs to Shared Domains for 3D Interacting Hands Recovery in the Wild", CVPR 2023

  Language:Python16773215

• 3dpose/3D-Multi-Person-Pose

  3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks

  Language:Python16592421

• muelea/buddi

  Our model BUDDI learns the joint distribution of interacting people

  Language:Python13871012

• Yzmblog/MonoHuman

  MonoHuman: Animatable Human Neural Field from Monocular Video (CVPR 2023)

  Language:Python1317209

• philkr/gamehook

  Language:C++12481923

• dluvizon/scene-aware-3d-multi-human

  Source code of the paper Scene-Aware 3D Multi-Human Motion Capture, EUROGRAPHICS 2023

  Language:Python121161017

• naver/PoseGPT

  Language:Python121784

• zkf1997/COINS

  code release of paper "Compositional Human-Scene Interaction Synthesis with Semantic Control"

  Language:Python953123

• yifeiyin04/Hi4D

  Hi4D: 4D Instance Segmentation of Close Human Interaction (CVPR2023)

  Language:Python90292

• brjathu/T3DP

  Code repository for the paper "Tracking People with 3D Representations". NeurIPS 2021

  Language:Python885136

• xiexh20/CHORE

  Official implementation for the paper CHORE, ECCV'22

  Language:Python854106

• Arthur151/DynaCam

  [CVPR 2023] DynaCam dataset - 3D human trajectories in global coordinates from videos captured by dynamic cameras

  Language:Python80432

• ZhengyiLuo/EmbodiedPose

  Official implementation of NeurIPS 2022 paper: "Embodied Scene-aware Human Pose Estimation".

  Language:Python73585

• yz-cnsdqz/GAMMA-release

  official implementation of [Zhang and Tang, The Wanderings of Odysseus in 3D Scenes, CVPR'22]

  Language:Python65418

• magnux/MotionGAN

  Language:Python45459

• LMescheder/AITools

  A simple, but extremly tool for AI text editing

  Language:Python110