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My computer graphics playground. Currently has a raytracer implemented with D3D11 compute shader.
3D Face Reconstruction using a single 2D image.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Deep learning based image denoising using tensorflow/Keras combined with block matching
Tutorials on Quantized Neural Network using Tensorflow Lite
StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness
🔥 2D and 3D Face alignment library build using pytorch
This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs
[CVPR 2020] A Large-Scale Dataset for Real-World Face Forgery Detection
📄 Awesome CV is LaTeX template for your outstanding job application
Implementation of EfficientNet model. Keras and TensorFlow Keras.
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
This repository is the official implementation of the paper Pruning via Iterative Ranking of Sensitivity Statistics and implements novel pruning / compression algorithms for deep learning / neural …
Training codebase for our solution to Kaggle's Deepfake Detection Challenge
A prize winning solution for DFDC challenge
Pytorch implementation of convolutional neural network visualization techniques
Understanding Deep Networks via Extremal Perturbations and Smooth Masks
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Convolutional neural network model for video classification trained on the Kinetics dataset.
Code for the paper "Interpreting video features: A comparison of 3D Convolutional networks and Convolutional LSTM networks"
a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
Retinaface get 80.99% in widerface hard val using mobilenet0.25.