zc-alexfan

arctic

[CVPR 2023] Official repository for downloading, processing, visualizing, and training models on the ARCTIC dataset.

hold

[CVPR 2024✨Highlight] Official repository for HOLD, the first method that jointly reconstructs articulated hands and objects from monocular videos without assuming a pre-scanned object template and 3D hand-object training data.

digit-interacting

[3DV 2021 Oral] Estimating two strongly interacting hand poses using Probabilistic Per-pixel Part Segmentation.

render_mano_ih

awesome-hand-pose-estimation

Awesome work on hand pose estimation/tracking

handobjectconsist-1

[cvpr 20] Demo, training and evaluation code for joint hand-object pose estimation in sparsely annotated videos

MeshTransformer

PARE

Code for ICCV2021 paper PARE: Part Attention Regressor for 3D Human Body Estimation

snarf

Official code release for ICCV 2021 paper SNARF: Differentiable Forward Skinning for Animating Non-rigid Neural Implicit Shapes.

zc-alexfan.github.io

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

autocomplete

Fig adds autocomplete to your terminal.

AutoComplPop

Automatically opens popup menu for completions

arctic-digit

cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

energy-based-scene-graph

Code release for Energy-Based Learning for Scene Graph Genertaion

GraspXL

This is a repository for GraspXL, which can generate objective-drive grasping motions for 500k+ objects with different dexterous hands.

GroundingDINO

Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

hamer

HaMeR: Reconstructing Hands in 3D with Transformers

hand_detector.d2

Hand detection models trained on 100DOH (100 Days of Hands) dataset.

HMP

knockknock

🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

moshpp

Motion and Shape Capture from Sparse Markers

nether

Segment-and-Track-Anything

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

smplx

SMPL-X

SuperGluePretrainedNetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

torch-batch-svd

A 100x faster SVD for PyTorch⚡️

VimCompletesMe

You don't Complete Me; Vim Completes Me! A super simple, super minimal, super light-weight tab completion plugin for Vim.

xchen.github.io

a fork of https://jonbarron.info/ for use in jekyll builds with markdown page updates