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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

learning-without-forgetting-using-pytorch

This is the Pytorch implementation of LwF

project360

rdn

Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)

rednet-pytorch

PyTorch Implementation of image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (NIPS 2016)

sae-in-python

a python implement of the paper Semantic Autoencoder for Zero-Shot Learning

san

Second-order Attention Network for Single Image Super-resolution (CVPR-2019)

tensorflow-convolutional-autoencoder

This is an implementation of Convolutional AutoEncoder using only TensorFlow

wildcat.pytorch

PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017

zeroshot_cvae

Code for A Generative Approach to Zero-Shot learning Using Conditonal Variational Autoencoders

zsl

ZSL with visually aligned attributes

zsl_gan

Code for the paper CVPR‘18 "A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts"

zssr

"Zero-Shot" Super-Resolution using Deep Internal Learning