Stars
Encoder-Decoder Cell and Nuclei segmentation models
Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
High-Resolution Image Synthesis with Latent Diffusion Models
Some simple Blender scripts for rendering paper figures
Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.
로봇의 감정 및 개성을 표현할 수 있는 대화형 음성합성 오픈소스 플랫폼
An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"
ML-driven tongue animation (CVPR'22)
Official implementation of Fully Spiking Variational Autoencoder [AAAI2022]
Fast CUDA implementation of (differentiable) soft dynamic time warping for PyTorch
[CVPR 2022] FaceFormer: Speech-Driven 3D Facial Animation with Transformers
Two-way communication between Unity (C#) and Python 3
Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"
FaceScape (PAMI2023 & CVPR2020)
Pytorch reproduction of the paper "Generating 3D faces using Convolutional Mesh Autoencoders (CoMA)" (ECCV 2018)
This is a Project Page of 'Towards a complete 3D morphable model of the human head'
This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
Project Page of 'GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction' [CVPR2019]
Source code for the paper "Lightweight Photometric Stereo for Facial Details Recovery" (CVPR2020).