Pinned Repositories
attributes2classname
TensorFlow implementation of the Attributes2Classname: A discriminative model for attribute-based unsupervised zero-shot learning.
Cold-Diffusion-Models
Official implementation of Cold-Diffusion for different transformations in pytorch.
Contractive_Autoencoder_in_Pytorch
Pytorch implementation of contractive autoencoder on MNIST dataset
CS-180
UCLA CS 180
CSE575
DBPN-Pytorch
The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)
DRLN
Densely Residual Laplacian Super-resolution
dynamic-training-bench
Simplify the training and tuning of Tensorflow models
ImageDenoisingGAN
Image Denoising with Generative Adversarial Network
ZSL
ZSL with visually aligned attributes
RitiP's Repositories
RitiP/ZSL
ZSL with visually aligned attributes
RitiP/attributes2classname
TensorFlow implementation of the Attributes2Classname: A discriminative model for attribute-based unsupervised zero-shot learning.
RitiP/Cold-Diffusion-Models
Official implementation of Cold-Diffusion for different transformations in pytorch.
RitiP/Contractive_Autoencoder_in_Pytorch
Pytorch implementation of contractive autoencoder on MNIST dataset
RitiP/CS-180
UCLA CS 180
RitiP/CSE575
RitiP/DBPN-Pytorch
The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)
RitiP/DRLN
Densely Residual Laplacian Super-resolution
RitiP/dynamic-training-bench
Simplify the training and tuning of Tensorflow models
RitiP/ImageDenoisingGAN
Image Denoising with Generative Adversarial Network
RitiP/Learning-without-Forgetting-using-Pytorch
This is the Pytorch implementation of LwF
RitiP/Project360
RitiP/RDN
Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)
RitiP/REDNet-pytorch
PyTorch Implementation of image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (NIPS 2016)
RitiP/SAE-in-python
a python implement of the paper Semantic Autoencoder for Zero-Shot Learning
RitiP/SAN
Second-order Attention Network for Single Image Super-resolution (CVPR-2019)
RitiP/TensorFlow-Convolutional-AutoEncoder
This is an implementation of Convolutional AutoEncoder using only TensorFlow
RitiP/wildcat.pytorch
PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017
RitiP/ZeroShot_CVAE
Code for A Generative Approach to Zero-Shot learning Using Conditonal Variational Autoencoders
RitiP/ZSL_GAN
Code for the paper CVPR‘18 "A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts"
RitiP/ZSSR
"Zero-Shot" Super-Resolution using Deep Internal Learning