Towards Real-World Blind Face Restoration with Generative Facial Prior


Blind face restoration usually relies on facial priors, such as facial geometry prior or reference prior, to restore realistic and faithful details.

Blind Face Restoration GAN inversion

0.93 stars / hour


timeseriesAI/tsai 23 Jun 2018

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Fine-tuning General Classification +3

0.92 stars / hour
0.66 stars / hour


PaddlePaddle/PaddleRec 12 Nov 2019

大规模推荐算法库,包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、DeepWalk、SSR、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、ListWise等,包含经典推荐系统数据集criteo 、movielens等

Click-Through Rate Prediction Recommendation Systems

0.58 stars / hour

Semi-supervised Implicit Scene Completion from Sparse LiDAR

open-air-sun/sisc 29 Nov 2021

Recent advances show that semi-supervised implicit representation learning can be achieved through physical constraints like Eikonal equations.

Representation Learning

0.47 stars / hour

NeuralProphet: Explainable Forecasting at Scale

ourownstory/neural_prophet 29 Nov 2021

NeuralProphet is a hybrid forecasting framework based on PyTorch and trained with standard deep learning methods, making it easy for developers to extend the framework.

Decision Making Time Series

0.47 stars / hour


BR-IDL/PaddleViT 12 Aug 2021

:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2. 0+

Object Detection

0.47 stars / hour

Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

xinntao/Real-ESRGAN 22 Jul 2021

Though many attempts have been made in blind super-resolution to restore low-resolution images with unknown and complex degradations, they are still far from addressing general real-world degraded images.

Video Super-Resolution

0.46 stars / hour

Improving GAN Equilibrium by Raising Spatial Awareness

genforce/eqgan 1 Dec 2021

We further propose to align the spatial awareness of G with the attention map induced from D. Through this way we effectively lessen the information gap between D and G. Extensive results show that our method pushes the two-player game in GANs closer to the equilibrium, leading to a better synthesis performance.

0.44 stars / hour

Attention Mechanisms in Computer Vision: A Survey

MenghaoGuo/Awesome-Vision-Attentions 15 Nov 2021

Humans can naturally and effectively find salient regions in complex scenes.

Image Classification Image Generation +4

0.42 stars / hour