sxy-ai2020 Goto Github PK

best_ai_paper_2020

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

coot-videotext

COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning

crowdsampling-the-plenoptic-function

PyTorch implementation of the paper: Crowdsampling The Plenoptic Function, ECCV 2020

darknet

YOLOv4v / Scaled-YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deepfacedrawing-jittor

deoldify

A Deep Learning based project for colorizing and restoring old images (and video!)

freezed

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)

gpt-3

GPT-3: Language Models are Few-Shot Learners

i2l-meshnet_release

Official PyTorch implementation of "I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image", ECCV 2020

image-gpt

lifespan_age_transformation_synthesis

Lifespan Age Transformation Synthesis code

modnet

A Trimap-Free Solution for Portrait Matting in Real Time under Changing Scenes

pifuhd

High-Resolution 3D Human Digitization from A Single Image.

pulse

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

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

raft

sttn

[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting

swapping-autoencoder-pytorch

Unofficial implementation of Swapping Autoencoder for Deep Image Manipulation (https://arxiv.org/abs/2007.00653) in PyTorch

transcoder

Public release of the TransCoder research project https://arxiv.org/pdf/2006.03511.pdf

vln-ce

Vision-and-Language Navigation in Continuous Environments using Habitat

white-box-cartoonization

Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”