Mofafa

Mofafa's Stars

• autonomousvision/unimatch

  [TPAMI'23] Unifying Flow, Stereo and Depth Estimation

  Language:Python1k105

• facebookresearch/banmo

  BANMo Building Animatable 3D Neural Models from Many Casual Videos

  Language:Python53659

• jonbarron/website

  Language:HTML2.5k2k

• autonomousvision/sdfstudio

  A Unified Framework for Surface Reconstruction

  Language:Python2k183

• elliottwu/MagicPony

  🎠 MagicPony: Learning Articulated 3D Animals in the Wild (CVPR 2023)

  Language:Python1068

• threestudio-project/threestudio

  A unified framework for 3D content generation.

  Language:Python6.2k475

• DeepLabCut/DeepLabCut

  Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

  Language:Python4.6k1.6k

• gengshan-y/viser

  ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction. NeurIPS 2021.

  Language:Python736

• VICO-UoE/SphericalMaps

  Language:Python122

• google/lasr

  Code for "LASR: Learning Articulated Shape Reconstruction from a Monocular Video". CVPR 2021.

  Language:Python17017

• MehmetAygun/saor

  SAOR: Single-View Articulated Object Reconstruction, CVPR 2024

  Language:Python4

• Junyi42/GeoAware-SC

  Official Implementation of paper "Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence"

  Language:Python845

• lab4d-org/lab4d

  A framework for 4D reconstruction from monocular videos.

  Language:Python25615

• haoz19/MagicPose4D

  Code for MagicPose4D: Crafting Articulated Models with Appearance and Motion Control

  Language:Jupyter Notebook722

• akanazawa/cmr

  Project repo for Learning Category-Specific Mesh Reconstruction from Image Collections

  Language:Python47585

• NVIDIAGameWorks/kaolin

  A PyTorch Library for Accelerating 3D Deep Learning Research

  Language:Python4.4k548

• HaiminLuo/Artemis

  [SIGGRAPH 2022] ARTEMIS, a novel neural modeling and rendering pipeline for generating ARTiculated neural pets with appEarance and Motion synthesIS.

  Language:Python15611

• tomasjakab/Farm3D

  4

• chaneyddtt/ScarceNet

  Language:Python293

• anl13/animal_papers

  Awesome papers for markerless animal motion capture and 3D reconstruction.

  Language:Python23712

• JiahuiLei/GART

  GART: Gaussian Articulated Template Models

  Language:Python25013

• cbsudux/Human-Pose-Estimation-101

  Basics of 2D and 3D Human Pose Estimation.

  33035

• IDEA-Research/X-Pose

  [ECCV 2024] Official implementation of the paper "X-Pose: Detecting Any Keypoints"

  Language:Python44118

• benjiebob/WLDO

  Code for paper ECCV 2020 paper: Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop.

  Language:Python487

• facebookresearch/pytorch3d

  PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

  Language:Python8.7k1.3k

• benjiebob/StanfordExtra

  12k labelled instances of dogs in-the-wild with 2D keypoint and segmentations. Dataset released with our ECCV 2020 paper: Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop.

  Language:Jupyter Notebook9315

• benjiebob/BADJA

  Benchmark Animal Dataset of Joint Annotations (BADJA) with example code, as introduced in "Creatures Great and SMAL: Recovering the shape and motion of animals from video" (ACCV 2018).

  Language:Python385

• benjiebob/SMALify

  This repository contains an implementation for performing 3D animal (quadruped) reconstruction from a monocular image or video. The system adapts the pose (limb positions) and shape (animal type/height/weight) parameters for the SMAL deformable quadruped model, as well as camera parameters until the projected SMAL model aligns with 2D keypoints and silhouette segmentations extracted from the input frame(s).

  Language:Python11018

• robot-perception-group/smalify

  pytorch-based articulated animal model (SMAL) fitting

  Language:Python122

• chhankyao/artic3d_recon

  Language:Jupyter Notebook3