tengshaofeng

ResidualAttentionNetwork-pytorch

a pytorch code about Residual Attention Network. This code is based on two projects from

lora_tbq

Using Low-rank adaptation to quickly fine-tune diffusion models.

text_segment_deeplearning_based

purpose This code is written by jackteng in order to understand text segment based on FCN.

CNN_face_detection

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

face_segment

Render-OpenGL

render a multiview image given 3d obj and texture image

Awesome-Face-Forgery-Generation-and-Detection

A curated list of articles and codes related to face forgery generation and detection.

Awesome-model-compression-and-acceleration

efficient_densenet_pytorch

face-vertification

train the inception_resnet_v2 on face dataset CASIA, with centerloss.

How-Diffusion-Models-Work

In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the models which carry it out. More than simply pulling in a pre-built model or using an API, this course will teach you to build a diffusion model from scratch.

insightface

State-of-the-art 2D and 3D Face Analysis Project

InsightFace_TF

Insight Face on TensorFlow

MODNet

A Trimap-Free Portrait Matting Solution in Real Time [AAAI 2022]

PINTO_model_zoo

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

text-detection-ctpn

text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network