kulikovvictor's Stars
lucidrains/vector-quantize-pytorch
Vector (and Scalar) Quantization, in Pytorch
ZoneLikeWonderland/HACK-Model
ICT-VGL/ICT-FaceKit
ICT's Vision and Graphics Lab's morphable face model and toolkit
OSVAI/ODConv
The official project website of "Omni-Dimensional Dynamic Convolution" (ODConv for short, spotlight in ICLR 2022).
NVlabs/instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
zqbai-jeremy/INORig
Source code for CVPR 2021 paper "Riggable 3D Face Reconstruction via In-Network Optimization"
yfeng95/face3d
Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.
xiaoiker/NAS-With-Code
Neural Architecture Search (NAS) papers with code
chenxin061/pdarts
Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"
cleardusk/3DDFA_V2
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
1996scarlet/Dense-Head-Pose-Estimation
[ECCV 2020] Reimplementation of 3DDFAv2, including face mesh, head pose, landmarks, and more.
mit-han-lab/proxylessnas
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
mit-han-lab/once-for-all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
pcr-upm/bobetocalo_eccv18
A Deeply-initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment
JiaShun-Xiao/face-alignment-ert-2D
implement of "One millisecond face alignment with an ensemble of regression tree" in python
luoyetx/face-alignment-at-3000fps
C++ implementation of Face Alignment at 3000 FPS via Regressing Local Binary Features
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
google-ar/sceneform-android-sdk
Sceneform SDK for Android
google/knusperli
A deblocking JPEG decoder
valerystrizh/pytorch-histogram-loss
PyTorch implementation for Histogram Loss
jonbarron/robust_loss_pytorch
A pytorch port of google-research/google-research/robust_loss/