Stars
Bringing Characters to Life with Computer Brains in Unity
人像卡通化探索项目 (photo-to-cartoon translation project)
Official code for "Towards An End-to-End Framework for Flow-Guided Video Inpainting" (CVPR2022)
Official implementation of "DCT-Net: Domain-Calibrated Translation for Portrait Stylization", SIGGRAPH 2022 (TOG); Multi-style cartoonization
Streamlit — A faster way to build and share data apps.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals
Official Implementation and Dataset of "PPR10K: A Large-Scale Portrait Photo Retouching Dataset with Human-Region Mask and Group-Level Consistency", CVPR 2021
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Roadmap to becoming an Artificial Intelligence Expert in 2022
UnityChanToonShaderVer2 Project / v.2.0.9 Release
Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.
An example of using Tensorflow with Unity for image classification and object detection.
40 face attributes prediction on CelebA benchmark with PyTorch Implementation.
Face Attribute Prediction on CelebA benchmark with PyTorch Implementation
Facial attributes classification based on MobileNet, a light weight deep neural network with CelebA cropped dataset. (based on Pytorch)
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
Extreme 3D Face Reconstruction: Looking Past Occlusions
A pytorch implemented classifier for Multiple-Label classification
Official implementation of paper "Query2Label: A Simple Transformer Way to Multi-Label Classification".
Separable Subsurface Scattering is a technique that allows to efficiently perform subsurface scattering calculations in screen space in just two passes.
Separable Subsurface Scattering is a technique that allows to efficiently perform subsurface scattering calculations in screen space in just two passes.
A face database with a large number of high-quality attribute annotations