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ffd_cvpr2020

flame-fitting

Example code for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 3D keypoints and 3D scans.

flame_pytorch

This is a implementation of the 3D FLAME model in PyTorch

ftcn

[Official] Exploring Temporal Coherence for More General Video Face Forgery Detection(ICCV 2021)

ics2017-pa

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

lipforensics

Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection (CVPR 2021)

meshtalk

Repository for MeshTalk supplemental material and code once the (already approved) 16 GHS captures our lab will make publicly available are released.

mmaction

An open-source toolbox for action understanding based on PyTorch

ms-tct

[CVPR2022] MS-TCT

opentsne

Extensible, parallel implementations of t-SNE

paper-computer-vision

Computer vision papers

poolformer

PoolFormer: MetaFormer is Actually What You Need for Vision (CVPR 2022 Oral)

pydeepfakedet

PyDeepFakeDet is an integrated and scalable tool for Deepfake detection.

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

pytorch-msssim

Fast and differentiable MS-SSIM and SSIM for pytorch.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch_retinaface

Retinaface get 80.99% in widerface hard val using mobilenet0.25.

pytorchvideo

A deep learning library for video understanding research.

rfm

ringnet

Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

selfblendedimages

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

sspcab

stam-pytorch

Implementation of STAM (Space Time Attention Model), a pure and simple attention model that reaches SOTA for video classification

static-dynamic-interpretability

strm

[CVPR 2022] Official Pytorch Implementation for "Spatio-temporal Relation Modeling for Few-shot Action Recognition". SOTA Results for Few-shot Action Recognition