IgorLipovac's Stars
p-x9/swift-property-tracer
📝 Library for tracing access to properties.
facebookresearch/sapiens
High-resolution models for human tasks.
b3ll/Motion
Animation engine for gesturally-driven user interfaces, animations, and interactions on iOS, macOS, and tvOS.
hidden-spectrum/swift-translate
Swift Package Plugin for automatically translating your String Catalogs
mitchtreece/SwiftNX
Swift homebrew framework for the Nintendo Switch!
immich-app/immich
High performance self-hosted photo and video management solution.
finnvoor/FeatherBlurView
argmaxinc/WhisperKit
On-device Speech Recognition for Apple Silicon
twostraws/FaceFacts
Source code for my SwiftUI + SwiftData tutorial.
nobnak/DrivingOnNavMesh
Unity-Technologies/com.unity.cloud.gltfast
Efficient glTF 3D import / export library for Unity
cmhungsteve/Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
kinosal/cowriter
Write 10x faster using OpenAI's GPT-3 based Davinci model to autocomplete your text
googlesamples/arcore-depth-lab
ARCore Depth Lab is a set of Depth API samples that provides assets using depth for advanced geometry-aware features in AR interaction and rendering. (UIST 2020)
apple/sample-cloudkit-sync-engine
ToolJet/ToolJet
Low-code platform for building business applications. Connect to databases, cloud storages, GraphQL, API endpoints, Airtable, Google sheets, OpenAI, etc and build apps using drag and drop application builder. Built using JavaScript/TypeScript. 🚀
FORTH-ModelBasedTracker/MocapNET
We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance
wanmeihuali/taichi_3d_gaussian_splatting
An unofficial implementation of paper 3D Gaussian Splatting for Real-Time Radiance Field Rendering by taichi lang.
MoyGcc/vid2avatar
Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition (CVPR2023)
zhengyuf/IMavatar
Official repository for CVPR 2022 paper: I M Avatar: Implicit Morphable Head Avatars from Videos
minar09/awesome-virtual-try-on
A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.
weihaox/awesome-digital-human
A collection of resources on digital human including clothed people digitalization, virtual try-on, and other related directions.
SamsungLabs/point_based_clothing
Official PyTorch implementation of ICCV'21 paper Point-Based Modeling of Human Clothing
nianticlabs/implicit-depth
[CVPR 2023] Virtual Occlusions Through Implicit Depth
s1ddok/Alloy
Make usage of Metal API a pleasure
keijiro/MeshLineSamples
Unity Mesh class samples
keijiro/BodyPixBarracuda
BodyPix for Unity Barracuda