zhangzjn/ADer

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Created 9 months ago
Updated 9 months ago

zhangzjn/ADer

zhangzjn

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ADer is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and approaches.

EMO

[ICCV 2023] Official PyTorch implementation of "Rethinking Mobile Block for Efficient Attention-based Models"

Jupyter Notebook

FReeNet

FReeNet: Multi-Identity Face Reenactment, CVPR'20

awesome-face-generation

Basic GAN frameworks and approaches for face swap, reenactment, and stylizing.

APB2FaceV2

An improved version of APB2Face: Real-Time Audio-Guided Multi-Face Reenactment

APB2Face

Official pytorch implementation for "APB2Face: Audio-guided face reenactment with auxiliary pose and blink signals", ICASSP'20

DTVNet

DTVNet: Dynamic Time-lapse Video Generation via Single Still Image, ECCV'20 Spotlight.

OCR-GAN

[TIP 2023] Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection

EATFormer

EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm

trackingImgLabel

TrackingImgLabel is an automatic graphical image annotation tool with a video as input, which uses tracking algorithm to track the object. You can only label the first frame of the video, then the tracking algorithm will automaticlly tracking the objects.

GPT-4V-AD

Code for "Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection"

zhangzjn

Profile of vtzhang