Experiments with Visualizing the Loss Landscape of Neural Nets with PyTorch 1.8

Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

LPIPS metric.

Comparison between Frechet Video Distance implementation from StyleGAN-V and the original paper

Unsupervised High-Resolution Portrait Gaze Correction and Animation (TIP 2022)

[ECCV 2022] StyleHEAT: A framework for high-resolution editable talking face generation

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

TRI-ML Monocular Depth Estimation Repository

This repository contains the source code for the paper First Order Motion Model for Image Animation

Semantic Image Synthesis with SPADE

Synthesizing and manipulating 2048x1024 images with conditional GANs

Official implementation of ETH-XGaze dataset baseline

Examine the impact of perceptual and its alternatives loss on GLO

The BlazeFace face detector model implemented in PyTorch

Gaze estimation using MPIIGaze and MPIIFaceGaze

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Google Research

🔥🔥 Deep Learning Head Pose Estimation using PyTorch.

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, arXiv:1907.01341"

Inference code and trained models for "Learning the Depths of Moving People by Watching Frozen People."

[ICCV 2019] Monocular depth estimation from a single image